Joint Turbo Equalization for Relaying Schemes over Frequency-Selective Fading Channels

Size: px
Start display at page:

Download "Joint Turbo Equalization for Relaying Schemes over Frequency-Selective Fading Channels"

Transcription

1 Jont Turbo Equazaton for Reayng Schemes over Frequency-Seectve Fadng Channes Houda Chafnaj, Tark At-Idr, Ham Yankomerogu +, and Samr Saoud Communcatons Systems Department, INPT, Madnat A Irfane, Rabat, Morocco Sgna and Communcatons Department, INSTITUT TELECOM/ TELECOM Bretagne, CS 83818, Brest Cedex, France. + Broadband Communcatons and Wreess Systems (BCWS) Centre, Department of Systems and Computer Engneerng Careton Unversty, Ottawa, Canada Emas: houda.chafnaj,samr.saoud@teecom-bretagne.eu, atdr@eee.org, ham@sce.careton.ca ABSTRACT We propose a snge carrer jont frequency doman equazaton and nterference canceaton (FDE-IC) wth dversty combnng for dfferent reayng schemes. We consder ampfy-and-forward (AF) and ACK/NACK-aded decodeand-forward (DF) modes over mutpe-nput mutpe-output (MIMO) frequency seectve reay channes. Durng the frst tme sot, the source transmts to both the reay and destnaton. In the second sot, the reay transmts the sgna packet to the destnaton n the case of AF mode, whe n DF the data bock s transmtted ether by the reay or the source dependng on the ACK/NACK feedback. By dervng an equvaent source-reay-destnaton (S R D) channe for the AF mode, we propose an ntegrated teratve mnmum mean square error (MMSE)-FDE-IC-aded transmsson combnng scheme recepton over mutpe sots s vewed as vrtua antennas. We aso derve the jont combnng scheme n the case of ACK/NACK-aded DF. Bock error rate () performance s evauated for dfferent system settngs. Categores and Subject Descrptors C.2.1 Network Archtecture and Desgn]: Wreess communcaton. Genera Terms Agorthms, Performance. Keywords Cooperatve reayng, mutpe-antenna systems, jont equazaton and nterference canceaton. 1. INTRODUCTION Permsson to make dgta or hard copes of a or part of ths work for persona or cassroom use s granted wthout fee provded that copes are not made or dstrbuted for proft or commerca advantage and that copes bear ths notce and the fu ctaton on the frst page. To copy otherwse, to repubsh, to post on servers or to redstrbute to sts, requres pror specfc permsson and/or a fee. IWCMC 09, June 21-24, 2009, Lepzg, Germany Copyrght 2009 ACM /09/06...$5.00. Reayng s an effcent dversty technque that aows to combat mut-path fadng n wreess communcatons 1 3]. In a reay system, one or more reays assst the communcaton between the source and destnaton to form a mutpenput mutpe-output (MIMO) system array and expot space-tme dversty. Severa nterestng reayng schemes have been proposed, among whch are two basc modes: ampfy-and-forward (AF) and decode-and-forward (DF). The AF strategy represents the smpest way that a reay may cooperate wth the source and destnaton. Under ths scheme, the reay smpy ampfes the receved sgna and forwards t towards destnaton. However, n the DF mode, the reay frst decodes the sgna receved from the source, reencodes and retransmts t to the destnaton. Ths approach suffers from error propagaton when the reay transmts an erroneousy decoded data bock 2, 4]. Seectve protocos, the reay transmts ony when t can reaby decode the data packet, have been ntroduced as an effectve method to reduce error propagaton 5 7]. In 8], the authors proposed a ACK/NACK-aded seectve DF protoco the reay transmts ony f t correcty decodes the packet, otherwse, t sends back a NACK message to the source that drecty transmts the frame to the destnaton. In ths paper, we refer to ths scheme as ACK/NACK-aded DF. To mprove spata dversty of a reay system, sgnas receved over the source destnaton and reay destnaton nks are combned at the recever sde. Most of the research work n ths area focused on fat fadng channes. However, n practca systems, channes connectng the source, reay and destnaton may suffer from nter-symbo nterference (ISI) caused by frequency-seectve fadng. Bock equazaton was proposed n 9 11] for the so-caed protoco III 12] the source sends to the reay durng the frst sot and both the source and reay send to the destnaton n the second sot. In 13], the authors ntroduced a maxmum rato combnng (MRC)-aded strategy for protoco I 12],.e., a scheme smar to protoco III except that the destnaton receves drect sgna from the source n the frst sot, under the AF mode and operatng over a frequency-seectve reay channe. In ths paper, we consder a snge carrer (SC) broadband coded reay system the source, reay, and destnaton are equpped wth mutpe antennas. The system s supposed to operate under the so-caed protoco II 12], the source sends to both the reay and destnaton n the frst sot, and the reay sends to the destnaton n the sec-

2 ond sot. Ths protoco scheme presents a generazaton of automatc repeat request (ARQ) mechansms. We consder both AF and DF modes. In the case of AF, the system eements communcate usng protoco II, whe n the case of DF, ether the source or reay transmt to the destnaton dependng on the ACK/NACK feedback from the reay,.e., ACK/NACK-aded DF. We focus on jont teratve (turbo) frequency doman equazaton and nterference canceaton (FDE-IC) wth dversty combnng at the destnaton. We propose an ntegrated teratve mnmum mean square error (MMSE)-FDE-IC-aded transmsson combnng strategy for both AF and DF modes, mutpe sot receptons are vewed as vrtua antennas. Performance of the proposed combnng scheme s evauated va computer smuatons for many reay confguratons. The remander of the paper s organzed as foows: Secton?? presents the consdered reayng schemes and ther correspondng communcaton modes. Secton?? detas the proposed turbo equazaton-aded combnng strategy. Numerca resuts are provded n Secton??. The paper s concuded n Secton??. Notatons dag x} and dag X 1,, X m} denote the dagona matrx and the bock dagona matrx constructed from x C n and from X 1,, X m C n 1 n 2, respectvey. (.) and (.) H are the transpose and the transpose conjugate of the argument, respectvey. U T s a untary T T matrx whose (m, n)th eement s (U T ) m,n = 1 T e j(2πmn/t ), and j = 1. U T,N = U T I N, I N s the N N dentty matrx and denotes the Kronecker product. For x C T N, x f denotes the Fourer transform of x,.e., x f = U T,N x. 2. RELAYING SCHEMES AND COMMUNI- CATION MODELS 2.1 Reay System We consder a system wth M antenna source, N antenna destnaton and K antenna reay to assst the communcaton between the source and the destnaton, N K M. The source-reay (S R), source-destnaton (S D), and reay-destnaton (R D) channes are frequency seectve and have L SR, L SD, and L RD symbospaced taps, respectvey. Cycc prefx-aded transmsson s assumed. The channe matrces correspondng to the three nks are H (SR) 0,, H (SR) L SR 1 CK M, H (SD) 0,, H (SD) L SD 1 C N M, and 0,, L RD 1 CN K. Ther entres are zero-mean crcuary symmetrc compex Gaussan and satsfy the foowng normazatons, }] E E dag E dag dag LSR 1 LSD 1 LRD 1 H (SR) H (SR)H H (SD) H (SD)H H }] }] = MI K, = MI N, = KI N. (1) The average energes of the three nks are E SR, E SD and E RD, and take nto account the path-oss and shadowng effects of each nk. We consder two reayng schemes: ) ampfy-and-forward (AF), and ) ACK/NACK-aded decode-and-forward (DF). Both schemes use two tme sots for sendng one nformaton bock from the source to the destnaton, each sot spans T channe uses (c.u). Frst, the source encodes ts data bock usng a space-tme bt ntereaved coded moduaton (STBICM) encoder. The resutng symbo vector s gven by, s = s 0,, s T 1] S T M, (2) s S M s the M 1 symbo vector at c.u = 0,, T 1, and S s the symbo consteaton. Durng the frst sot, the source nserts a cycc prefx (CP) symbo word of ength TCP S D max (L SR, L SD), then transmts the resutng symbo frame to both the reay and destnaton. After CP deeton, the N 1 sgna obtaned at the destnaton s, y (1) = E SD L SD 1 H (SD) s ( ) mod T + n (1), (3) n (1) N ( ) 0 N 1, σ 2 I N s the therma nose. Durng the second sot, the transmsson strategy depends on the consdered reayng scheme. In the case of AF mode, the reay ampfes and sends the bock of receved sgnas to the destnaton. When ACK/NACK-aded DF s consdered, the symbo packet s sent to the destnaton ether by the source or the reay dependng on the ACK/NACK feedback. In other words, the reay sends back a NACK message to the destnaton f the decodng outcome at the reay s erroneous then the source drecty sends the symbo frame to the destnaton, whe the reay transmts the symbo frame to the destnaton f t correcty decodes the packet. In the foowng, we provde communcaton modes for both reayng schemes. 2.2 AF Scheme After CP remova at the reay sde, the K 1 receved sgna s expressed as, y (SR) = E SR L SR 1 H (SR) s ( ) mod T + n (SR), (4) n (SR) N ( ) 0 K 1, σ 2 I K s the therma nose at the reay. Durng the second tme sot, the reay frst normazes receved sgnas y (SR) as, ỹ (SR) 1 = MESR + σ 2 y(sr), (5) then nserts a CP sgna word of ength TCP R D L RD and transmts the resutng sgna packet to the destnaton. After CP deeton, the N 1 receved sgna durng the second sot s y (RD) = ERDE SR ME SR + σ 2 L SRD 1 s ( ) mod T + ñ (SRD), (6)

3 ñ (SRD) = ERD ME SR + σ 2 L RD 1 n (SR) ( ) mod T + n(rd) (7) s the effectve zero-mean Gaussan nose at the destnaton sde and has condtona covarance matrx, ) L RD 1 Θ = σ (I 2 E RD N + ME SR + σ 2 H. (8) 0,, L SRD 1 CN M s the equvaent mutpath channe correspondng to nk S R D, and has L SRD = L SR + L RD 1 symbo-spaced taps. The th equvaent tap channe matrx s expressed as, = = mn(,l RD 1) n=max(0, L SR +1) mn(,l SR 1) n=max(0, L RD +1) n H (SR) n, f LRD LSR n H(SR) n, Otherwse. (9) To perform jont equazaton over sgna packets receved over nks S D and R D, the destnaton proceeds by a whtenng of the effctve nose usng the Choesky Factorzaton of Θ 1 σ 2 = LL H, L s a N N ower tranguar matrx. Ths yeds sgna vector, y (2) =L 1 y (RD) = L 2 1 E 2 H (2) L 2 E 2 H (2) s ( ) mod T + n (2), (10) = L 1 = L SRD, = E RDE SR, ME SR +σ 2, (11) and n (2) N ( ) 0 N 1, σ 2 I N s the whtened effctve nose at the destnaton sde. 2.3 ACK/NACK-Aded DF Scheme After CP deeton, the N 1 receved sgna at the destnaton sde durng the second sot s expressed as, y (2) = L 2 1 E 2 H (2) s ( ) mod T + n (2), (12) L 2 = L RD, E 2 = E RD, H (2) = L 2 = L SD, E 2 = E SD, H (2) = H (SD), f ACK, f NACK. (13) 3. JOINT TURBO EQUALIZATION Consderng the second tme sot as a set of N vrtua receve antennas, the two-tme sot system (Source, Reay, and Destnaton) can be vewed as a pont to pont MIMO nk wth M transmt and 2N receve antennas, the 2NT 1 bock receved sgna vector y s constructed as, and y y 0,, y T 1] C 2NT, (14) y y (1) y (2) ] C 2N (15) s the sgna receved over the 2N vrtua antennas. The bock communcaton mode correspondng to ths two-sot scheme s gven as, y = Hs + n, (16) H C 2NT MT s a bock crcuant matrx whose frst 2NT M coumn matrx s ] H 0,, H L 1, 0 M (T L)2N and H ESD H (SD) E2 H (2) wth L = max(l SD, L 2), (17) ] C 2N M (18) s the channe matrx correspodng to the th ( = 0,, L 1) vrtua MIMO tap. Vector ] n = n 0,, n T 1 C 2NT (19) n n (1) n (2) ] N ( 0 2N 1, σ 2 I 2N ) (20) denotes the therma nose of the two-sot equvaent MIMO system. Note that the bock crcuant matrx H can be bock dagonazed n a Fourer bass. Therefore, appyng the dscrete fourer transform (DFT) on the two-sot receved bock sgna vector (14) yeds the foowng frequency doman bock communcaton mode, wth y f = Λs f + n f, (21) H = U H T,2N ΛU T,M, (22) } Λ dag Λ0,, Λ T 1 C 2N MT, Λ L 1 H e j(2π/t ) C 2N M. (23) The proposed recever teratvey performs (over sots) transmsson combnng and SISO decodng through the exchange of soft nformaton n the form of Log-Lkehood Rato (LLR) vaues between the jont (over sots) equazer and the soft decoder. Let s denotes the condtona estmate of s and σt, 2 denotes the condtona varance of s t,, the symbo at c.u transmtted over the jth antenna. As presented n 14], the soft nterferences canceaton and MMSE fterng can be mpemented n the frequency doman usng a forward and a backward fters. The MMSE estmate z f on s f can be expressed as, z f = Φy f Ψ s f, (24)

4 Φ = dag Φ 0,, Φ T 1} s the forward fter gven by, Φ 1 σ Λ H 2 } DC 1 Λ H, C = σ 2 Ξ 1 + D, (25) D = Λ H Λ, AF ACK/NACK DF Statc Ch ACK/NACK DF Dynamc Ch Fgure 2: versus for K = M = N = 2, a nks have the same number of paths L = 3 and = SNR SR = SNR RD. ACK/NACK DF Statc Ch SNR RD = ACK/NACK DF Statc Ch SNR RD ACK/NACK DF Dynamc Ch SNR RD = ACK/NACK DF Dynamc Ch SNR RD Fgure 1: versus for K = M = N = 2, a nks have the same number of paths L = 3 and = SNR SR. Ξ s an uncondtona covarance matrx computed as the tme average of condtona covarance matrces Ξ defned as, Ξ dag σ 2 1,,, σ 2 M,}, (26) and Ψ = dag Ψ 0,, Ψ T 1} s the backward fter gven by, Ψ Γ Υ, } Γ = 1 σ 2 D D C 1 D, T 1 Υ = 1 Γ T. =0 (27) After computng (24), the nverse DFT (IDFT) s then apped to z (k) f to obtan the equazed tme doman sequence, z = U H T,M z f. (28) the MMSE estmate z t, correspondng to antenna t and c.u. can be smpy extracted from z as z t, = e H t,z, wth e t, denotes the (M + t)th vector of the canonca bass. The extrnsc LLRs vaue φ (e) t,,m correspondng to coded and ntereaved bt b t,,m are then produced by the demapper usng the max-og smpfcaton, φ (e) t,,m = mn s S m 0 mn s S m 1 z t, g t,s 2 θt, 2 z t, g t,s 2 θ 2 t, φ (a) t,,j j m φ (a) t,,j j m λj s} λj s}, (29) g t, and θ t, denote, respectvey, the equvaent channe gan at the output of equazer and the resdua nterference varance correspondng to dscrete tme j, and transmt antenna t. φ (a) t,,j s the a-pror LLR for coded bt bt,,j obtaned from the decoder n the prevous teraton, λ j s} s an operator extractng the jth bt abeng the symbo s S and Sβ m s the set of symbos havng the mth bt set to β,.e., Sβ m = s : λ m s} = β}. The LLRs cacuated by the demapper are then de-ntereaved and fed back to the softnput soft-output (SISO) decoder. 4. NUMERICAL RESULTS The system confguraton used for performance evauaton has K = M = N = 2, quadrature phase shft keyng (QPSK) moduaton, and a 16 state convoutona encoder wth poynoma generators (35, 23) 8. The ength of the code frame s 2048 bts ncudng tas. A nks (S D, S R, R D) have the same frequency-seectve fadng channe profe,.e., L = 3 equa power paths. The CP ength s T CP = 3. We use the Max-Log-MAP agorthm for SISO decodng. The teratve MMSE recever at the destnaton node runs three turbo teratons. In a fgures, AF denotes jont FDE-IC usng the AF mode, whe ACK/NACK-DF (Statc Ch) and ACK/NACK-DF (Dynamc Ch) denote the ACK/NACK-aded DF operatng over a two and one-sot statc fadng S D nk, respectvey. Frst we consder a scenaro the S D, S R, R D nks are baanced. As expected, the DF mode outperforms the AF mode. However, when jont MMSE-FDE s

5 ACK/NACK DF Statc Ch SNR RD = ACK/NACK DF Statc Ch SNR RD ACK/NACK DF Dynamc Ch SNR RD = ACK/NACK DF Dynamc Ch SNR RD = = +5dB = +10dB = +15dB ACK/NACK DF Statc Ch ACK/NACK DF Dynamc Ch Fgure 3: versus for K = M = N = 2, a nks have the same number of paths L = 3 and SNR SR = + 5dB. abe to coect the maxmum achevabe dversty gan (DF mode operatng over one-sot statc fadng S D nk), the gap between the two modes s ess than 2dB at as t can be seen from Fg. 2. When the ACK/NACK-aded DF operates over a two-sot bock statc fadng S D nk, the AF and DF modes have smar performance. For nstance, the gap s ony about 0.3dB at. We aso nvestgate the performance of the studed modes when the three nks are unbaanced. From Fg. 1 and Fg. 3, we can see that the DF mode s reatvey nsenstve to the pathoss of the R D nk for SNR RD SNR SR, whe the AF mode s greaty affected (see Fg.4 and Fg. 5). Fg. 4 ustrates the performance of the studed modes when the S D and S R nks are baanced and the R D nk experences better quaty (.e., SNR RD = + 5dB, 10dB and 15dB). In the case of DF mode wth no dversty gan, t s seen that the gap between the two modes s emnated at. However, n the case of DF operatng over a one-sot bock statc fadng S D nk, the AF mode presents a performance degradaton compared wth the DF mode. For nstance, the gap s about 1dB at when SNR SR = + 15dB. Fg. 5 reports the performance of the studed modes when the S R and R D nks experence better quaty than the S D nk (.e., SNR SR = + 5dB, SNR RD = + 5dB, 10dB, and 15dB). For ths scenaro, the AF mode ceary outperforms the DF mode wth no dversty gan, and the gap reaches 1.1dB for SNR SR = + 15dB at. Moreover, n the case of DF mode operatng over a one-sot bock statc fadng S D nk, the AF mode performs better when SNR SR = + 10dB and SNR SR = +15dB. However, when SNR SR +5dB, AF has degraded performance compared wth DF, and the gap s ess than 2dB at. 5. CONCLUSION In ths paper we have proposed a jont turbo equazatonaded combnng scheme for both AF and ACK/NACK-aded Fgure 4: versus for K = M = N = 2, a nks have the same number of paths L = 3 and = SNR SR. ACK/NACK-aded DF curves are st the same for SNR RD = + 5dB, 10dB and 15dB DF reayng protocos operatng over a mutpe-antenna frequency-seectve fadng reay channe. Smuaton resuts have shown that both modes have smar performance and ony a sma gap s observed for some specfc scenaros. As AF reayng presents ess mpementaton requrements and computatona compexty than DF, the proposed turbo combnng scheme wth AF s attractve for practca reay systems. 6. REFERENCES 1] J. N. Laneman and G. W. Worne, Dstrbuted space-tme-coded protocos for expotng cooperatve dversty n wreess networks, IEEE Trans. Inform. Theory, vo. 49, no. 10, pp , Oct ] J. Laneman, D. Tse, and G. W. Worne, Cooperatve dversty n wreess networks: Effcent protocos and outage behavor, IEEE Trans. Inform. Theory, vo. 50, no. 12, pp , Dec ] A. Sendonars, E. Erkp, and B. Aazhang, User cooperaton dversty Part I & Part II, IEEE Trans. Commun., vo. 51, pp , Nov ] J. Boyer, D. D. Faconer, and H. Yankomerogu, Muthop dversty n wreess reayng channes, IEEE Trans. on Comm., vo. 52, pp , Oct ] A. Adnoy and H. Yankomerogu, Mut-antenna aspects of parae fxed wreess reays, IEEE WCNC, Las Vegas, Nevada, USA, Apr ] Z. Ln, E. Erkp, and A. Stefanov, Cooperatve regons for coded cooperatve systems, IEEE GLOBECOM, Daas, USA, Nov.-Dec ] F.A. Onat, H. Yankomerogu, and S. Peryawar, Reay-asssted spata mutpexng n wreess fxed reay networks,, IEEE GLOBECOM, San Francsco, USA, Nov.- Dec

6 = = +5dB = +10dB = +15dB ACK/NACK DF Statc Ch, SNR RD = ACK/NACK DF Dynamc Ch, SNR RD CK/NACK DF Statc Ch, SNR RD = ACK/NACK DF Dyna, SNR RD Fgure 5: versus for K = M = N = 2, a nks have the same number of paths L = 3 and SNR SR = +5dB. ACK/NACK-aded DF curves are st the same for SNR RD = +5dB, 10dB and 15dB 8] H. V. Khuong and T. Le-Ngoc, A Bandwdth-effcent Cooperatve Reayng Scheme wth Lmted Feedback Informaton 24th Benna Symposum on Communcaton 2008, pp , June ] H. Mhedat and M. Uysa, Equazaton Technques for Space-Tme Coded Cooperatve Systems, IEEE VTC-Fa, Los Angees, Caforna, USA, Sept ] H. Mhedat, M. Uysa and N. A-Dhahr, Snge-Carrer Frequency Doman Equazaton for Broadband Cooperatve Communcatons, IEEE WCNC, Las Vegas, Nevada, USA, Apr ] H. Mhedat, M. Uysa, and N. A-Dhahr, Equazaton Technques for Dstrbuted Space-Tme Bock Codes Wth Ampfy-and-Forward Reayng, IEEE Trans. Sgna Process., vo. 55, pp , ] R. U.Nabar, F. W.Kneubher, and H. Boecske, Performance Lmts of Ampfy-and-Forward Based Fadng Reay channes,, IEEE ICASSP, Montrea, Canada, May ] Q. Ja, T. Lv and G. Png, An Effcent Scheme for Jont Equazaton and Interference Canceaton n Dstrbuted Cooperatve Dversty Networks, CNSR, Hafax, Canada, May ] R. Vsoz, A. O. Berthet, and S. Chtourou, Frequency-doman bock turbo-equazaton for snge-carrer transmsson over MIMO broadband wreess channe, IEEE Trans. Commun., vo. 54, no. 12, pp , Dec

Optimum Selection Combining for M-QAM on Fading Channels

Optimum Selection Combining for M-QAM on Fading Channels Optmum Seecton Combnng for M-QAM on Fadng Channes M. Surendra Raju, Ramesh Annavajjaa and A. Chockangam Insca Semconductors Inda Pvt. Ltd, Bangaore-56000, Inda Department of ECE, Unversty of Caforna, San

More information

Optimal and Suboptimal Linear Receivers for Time-Hopping Impulse Radio Systems

Optimal and Suboptimal Linear Receivers for Time-Hopping Impulse Radio Systems MITSUBISHI ELECTRIC RESEARCH LABORATORIES http://www.mer.com Optma and Suboptma Lnear Recevers for Tme-Hoppng Impuse Rado Systems Snan Gezc Hsash Kbayash H. Vncent Poor Andreas F. Mosch TR2004-052 May

More information

Interference Alignment and Degrees of Freedom Region of Cellular Sigma Channel

Interference Alignment and Degrees of Freedom Region of Cellular Sigma Channel 2011 IEEE Internatona Symposum on Informaton Theory Proceedngs Interference Agnment and Degrees of Freedom Regon of Ceuar Sgma Channe Huaru Yn 1 Le Ke 2 Zhengdao Wang 2 1 WINLAB Dept of EEIS Unv. of Sc.

More information

Diversity Combining of Signals with Different Modulation Levels in Cooperative Relay Networks 1

Diversity Combining of Signals with Different Modulation Levels in Cooperative Relay Networks 1 Dversty Combnng of gnas wth Dfferent oduaton Leves n Cooperatve Reay Networks Akram Bn edq and Ham Yankomerogu Broadband Communcatons and Wreess ystems BCW Centre Department of ystems and Computer Engneerng

More information

Application of Nonbinary LDPC Codes for Communication over Fading Channels Using Higher Order Modulations

Application of Nonbinary LDPC Codes for Communication over Fading Channels Using Higher Order Modulations Applcaton of Nonbnary LDPC Codes for Communcaton over Fadng Channels Usng Hgher Order Modulatons Rong-Hu Peng and Rong-Rong Chen Department of Electrcal and Computer Engneerng Unversty of Utah Ths work

More information

ECE559VV Project Report

ECE559VV Project Report ECE559VV Project Report (Supplementary Notes Loc Xuan Bu I. MAX SUM-RATE SCHEDULING: THE UPLINK CASE We have seen (n the presentaton that, for downlnk (broadcast channels, the strategy maxmzng the sum-rate

More information

Polite Water-filling for Weighted Sum-rate Maximization in MIMO B-MAC Networks under. Multiple Linear Constraints

Polite Water-filling for Weighted Sum-rate Maximization in MIMO B-MAC Networks under. Multiple Linear Constraints 2011 IEEE Internatona Symposum on Informaton Theory Proceedngs Pote Water-fng for Weghted Sum-rate Maxmzaton n MIMO B-MAC Networks under Mutpe near Constrants An u 1, Youjan u 2, Vncent K. N. au 3, Hage

More information

Performance of SDMA Systems Using Transmitter Preprocessing Based on Noisy Feedback of Vector-Quantized Channel Impulse Responses

Performance of SDMA Systems Using Transmitter Preprocessing Based on Noisy Feedback of Vector-Quantized Channel Impulse Responses Performance of SDMA Systems Usng Transmtter Preprocessng Based on Nosy Feedback of Vector-Quantzed Channe Impuse Responses Du Yang, Le-Lang Yang and Lajos Hanzo Schoo of ECS, Unversty of Southampton, SO7

More information

On Uplink-Downlink Sum-MSE Duality of Multi-hop MIMO Relay Channel

On Uplink-Downlink Sum-MSE Duality of Multi-hop MIMO Relay Channel On Upn-Downn Sum-MSE Duat of Mut-hop MIMO Rea Channe A Cagata Cr, Muhammad R. A. handaer, Yue Rong and Yngbo ua Department of Eectrca Engneerng, Unverst of Caforna Rversde, Rversde, CA, 95 Centre for Wreess

More information

COXREG. Estimation (1)

COXREG. Estimation (1) COXREG Cox (972) frst suggested the modes n whch factors reated to fetme have a mutpcatve effect on the hazard functon. These modes are caed proportona hazards (PH) modes. Under the proportona hazards

More information

Cyclic Codes BCH Codes

Cyclic Codes BCH Codes Cycc Codes BCH Codes Gaos Feds GF m A Gaos fed of m eements can be obtaned usng the symbos 0,, á, and the eements beng 0,, á, á, á 3 m,... so that fed F* s cosed under mutpcaton wth m eements. The operator

More information

Associative Memories

Associative Memories Assocatve Memores We consder now modes for unsupervsed earnng probems, caed auto-assocaton probems. Assocaton s the task of mappng patterns to patterns. In an assocatve memory the stmuus of an ncompete

More information

Downlink Power Allocation for CoMP-NOMA in Multi-Cell Networks

Downlink Power Allocation for CoMP-NOMA in Multi-Cell Networks Downn Power Aocaton for CoMP-NOMA n Mut-Ce Networs Md Shpon A, Eram Hossan, Arafat A-Dwe, and Dong In Km arxv:80.0498v [eess.sp] 6 Dec 207 Abstract Ths wor consders the probem of dynamc power aocaton n

More information

Module 3 LOSSY IMAGE COMPRESSION SYSTEMS. Version 2 ECE IIT, Kharagpur

Module 3 LOSSY IMAGE COMPRESSION SYSTEMS. Version 2 ECE IIT, Kharagpur Module 3 LOSSY IMAGE COMPRESSION SYSTEMS Verson ECE IIT, Kharagpur Lesson 6 Theory of Quantzaton Verson ECE IIT, Kharagpur Instructonal Objectves At the end of ths lesson, the students should be able to:

More information

Demodulation of PPM signal based on sequential Monte Carlo model

Demodulation of PPM signal based on sequential Monte Carlo model Internatona Journa of Computer Scence and Eectroncs Engneerng (IJCSEE) Voume 1, Issue 1 (213) ISSN 232 428 (Onne) Demoduaton of M sgna based on seuenta Monte Caro mode Lun Huang and G. E. Atkn Abstract

More information

Low Complexity Soft-Input Soft-Output Hamming Decoder

Low Complexity Soft-Input Soft-Output Hamming Decoder Low Complexty Soft-Input Soft-Output Hammng Der Benjamn Müller, Martn Holters, Udo Zölzer Helmut Schmdt Unversty Unversty of the Federal Armed Forces Department of Sgnal Processng and Communcatons Holstenhofweg

More information

A finite difference method for heat equation in the unbounded domain

A finite difference method for heat equation in the unbounded domain Internatona Conerence on Advanced ectronc Scence and Technoogy (AST 6) A nte derence method or heat equaton n the unbounded doman a Quan Zheng and Xn Zhao Coege o Scence North Chna nversty o Technoogy

More information

Consider the following passband digital communication system model. c t. modulator. t r a n s m i t t e r. signal decoder.

Consider the following passband digital communication system model. c t. modulator. t r a n s m i t t e r. signal decoder. PASSBAND DIGITAL MODULATION TECHNIQUES Consder the followng passband dgtal communcaton system model. cos( ω + φ ) c t message source m sgnal encoder s modulator s () t communcaton xt () channel t r a n

More information

Supplementary Material: Learning Structured Weight Uncertainty in Bayesian Neural Networks

Supplementary Material: Learning Structured Weight Uncertainty in Bayesian Neural Networks Shengyang Sun, Changyou Chen, Lawrence Carn Suppementary Matera: Learnng Structured Weght Uncertanty n Bayesan Neura Networks Shengyang Sun Changyou Chen Lawrence Carn Tsnghua Unversty Duke Unversty Duke

More information

Retrodirective Distributed Transmit Beamforming with Two-Way Source Synchronization

Retrodirective Distributed Transmit Beamforming with Two-Way Source Synchronization Retrodrectve Dstrbuted Transmt Beamformng wth Two-Way Source Synchronzaton Robert D. Preuss and D. Rchard Brown III Abstract Dstrbuted transmt beamformng has recenty been proposed as a technque n whch

More information

Delay tomography for large scale networks

Delay tomography for large scale networks Deay tomography for arge scae networks MENG-FU SHIH ALFRED O. HERO III Communcatons and Sgna Processng Laboratory Eectrca Engneerng and Computer Scence Department Unversty of Mchgan, 30 Bea. Ave., Ann

More information

Correspondence. Performance Evaluation for MAP State Estimate Fusion I. INTRODUCTION

Correspondence. Performance Evaluation for MAP State Estimate Fusion I. INTRODUCTION Correspondence Performance Evauaton for MAP State Estmate Fuson Ths paper presents a quanttatve performance evauaton method for the maxmum a posteror (MAP) state estmate fuson agorthm. Under dea condtons

More information

Lecture 3: Shannon s Theorem

Lecture 3: Shannon s Theorem CSE 533: Error-Correctng Codes (Autumn 006 Lecture 3: Shannon s Theorem October 9, 006 Lecturer: Venkatesan Guruswam Scrbe: Wdad Machmouch 1 Communcaton Model The communcaton model we are usng conssts

More information

Nested case-control and case-cohort studies

Nested case-control and case-cohort studies Outne: Nested case-contro and case-cohort studes Ørnuf Borgan Department of Mathematcs Unversty of Oso NORBIS course Unversty of Oso 4-8 December 217 1 Radaton and breast cancer data Nested case contro

More information

Scientia Iranica, Vol. 13, No. 4, pp 337{347 c Sharif University of Technology, October 2006 Performance Evaluations and Comparisons of Several LDPC C

Scientia Iranica, Vol. 13, No. 4, pp 337{347 c Sharif University of Technology, October 2006 Performance Evaluations and Comparisons of Several LDPC C Scenta Iranca, Vo. 13, No. 4, pp 337{347 c Sharf Unversty of Technoogy, Octoer 006 Performance Evauatons and Comparsons of Severa LDPC Coded MC-FH-CDMA Systems H. Behrooz, J. Haghghat 1, M. Nasr-Kenar

More information

Research on Complex Networks Control Based on Fuzzy Integral Sliding Theory

Research on Complex Networks Control Based on Fuzzy Integral Sliding Theory Advanced Scence and Technoogy Letters Vo.83 (ISA 205), pp.60-65 http://dx.do.org/0.4257/ast.205.83.2 Research on Compex etworks Contro Based on Fuzzy Integra Sdng Theory Dongsheng Yang, Bngqng L, 2, He

More information

Equal-Optimal Power Allocation and Relay Selection Algorithm Based on Symbol Error Probability in Cooperative Communication

Equal-Optimal Power Allocation and Relay Selection Algorithm Based on Symbol Error Probability in Cooperative Communication INTERNATIONAL JOURNAL OF COUNICATIONS Volume 1, 18 Equal-Optmal Power Allocaton and Relay Selecton Algorthm Based on Symbol Error Probablty n Cooperatve Communcaton Xn Song, Syang Xu and ngle Zhang Abstract

More information

Analysis of Non-binary Hybrid LDPC Codes

Analysis of Non-binary Hybrid LDPC Codes Anayss of Non-bnary Hybrd LDPC Codes Luce Sassate and Davd Decercq ETIS ENSEA/UCP/CNRS UMR-5 954 Cergy, FRANCE {sassate,decercq}@ensea.fr Abstract Ths paper s egbe for the student paper award. In ths paper,

More information

DISTRIBUTED PROCESSING OVER ADAPTIVE NETWORKS. Cassio G. Lopes and Ali H. Sayed

DISTRIBUTED PROCESSING OVER ADAPTIVE NETWORKS. Cassio G. Lopes and Ali H. Sayed DISTRIBUTED PROCESSIG OVER ADAPTIVE ETWORKS Casso G Lopes and A H Sayed Department of Eectrca Engneerng Unversty of Caforna Los Angees, CA, 995 Ema: {casso, sayed@eeucaedu ABSTRACT Dstrbuted adaptve agorthms

More information

Iterative Multiuser Receiver Utilizing Soft Decoding Information

Iterative Multiuser Receiver Utilizing Soft Decoding Information teratve Multuser Recever Utlzng Soft Decodng nformaton Kmmo Kettunen and Tmo Laaso Helsn Unversty of Technology Laboratory of Telecommuncatons Technology emal: Kmmo.Kettunen@hut.f, Tmo.Laaso@hut.f Abstract

More information

Power Allocation/Beamforming for DF MIMO Two-Way Relaying: Relay and Network Optimization

Power Allocation/Beamforming for DF MIMO Two-Way Relaying: Relay and Network Optimization Power Allocaton/Beamformng for DF MIMO Two-Way Relayng: Relay and Network Optmzaton Je Gao, Janshu Zhang, Sergy A. Vorobyov, Ha Jang, and Martn Haardt Dept. of Electrcal & Computer Engneerng, Unversty

More information

MARKOV CHAIN AND HIDDEN MARKOV MODEL

MARKOV CHAIN AND HIDDEN MARKOV MODEL MARKOV CHAIN AND HIDDEN MARKOV MODEL JIAN ZHANG JIANZHAN@STAT.PURDUE.EDU Markov chan and hdden Markov mode are probaby the smpest modes whch can be used to mode sequenta data,.e. data sampes whch are not

More information

On the Power Function of the Likelihood Ratio Test for MANOVA

On the Power Function of the Likelihood Ratio Test for MANOVA Journa of Mutvarate Anayss 8, 416 41 (00) do:10.1006/jmva.001.036 On the Power Functon of the Lkehood Rato Test for MANOVA Dua Kumar Bhaumk Unversty of South Aabama and Unversty of Inos at Chcago and Sanat

More information

Adaptive Beamforming in Multi path fading Channels for Voice Enhancements

Adaptive Beamforming in Multi path fading Channels for Voice Enhancements Adaptve Beamformng n ut path fadng Channes for Voce Enhancements usnan Abbas Internatona Isamc Unversty Isamabad Waqas Ahmed Internatona Isamc Unversty Isamabad Shehzad Ashraf Internatona Isamc Unversty

More information

Chapter 7 Channel Capacity and Coding

Chapter 7 Channel Capacity and Coding Chapter 7 Channel Capacty and Codng Contents 7. Channel models and channel capacty 7.. Channel models Bnary symmetrc channel Dscrete memoryless channels Dscrete-nput, contnuous-output channel Waveform

More information

The Concept of Beamforming

The Concept of Beamforming ELG513 Smart Antennas S.Loyka he Concept of Beamformng Generc representaton of the array output sgnal, 1 where w y N 1 * = 1 = w x = w x (4.1) complex weghts, control the array pattern; y and x - narrowband

More information

DC-Free Turbo Coding Scheme Using MAP/SOVA Algorithms

DC-Free Turbo Coding Scheme Using MAP/SOVA Algorithms Proceedngs of the 5th WSEAS Internatonal Conference on Telecommuncatons and Informatcs, Istanbul, Turkey, May 27-29, 26 (pp192-197 DC-Free Turbo Codng Scheme Usng MAP/SOVA Algorthms Prof. Dr. M. Amr Mokhtar

More information

Chapter 7 Channel Capacity and Coding

Chapter 7 Channel Capacity and Coding Wreless Informaton Transmsson System Lab. Chapter 7 Channel Capacty and Codng Insttute of Communcatons Engneerng atonal Sun Yat-sen Unversty Contents 7. Channel models and channel capacty 7.. Channel models

More information

Development of whole CORe Thermal Hydraulic analysis code CORTH Pan JunJie, Tang QiFen, Chai XiaoMing, Lu Wei, Liu Dong

Development of whole CORe Thermal Hydraulic analysis code CORTH Pan JunJie, Tang QiFen, Chai XiaoMing, Lu Wei, Liu Dong Deveopment of whoe CORe Therma Hydrauc anayss code CORTH Pan JunJe, Tang QFen, Cha XaoMng, Lu We, Lu Dong cence and technoogy on reactor system desgn technoogy, Nucear Power Insttute of Chna, Chengdu,

More information

Single-Source/Sink Network Error Correction Is as Hard as Multiple-Unicast

Single-Source/Sink Network Error Correction Is as Hard as Multiple-Unicast Snge-Source/Snk Network Error Correcton Is as Hard as Mutpe-Uncast Wentao Huang and Tracey Ho Department of Eectrca Engneerng Caforna Insttute of Technoogy Pasadena, CA {whuang,tho}@catech.edu Mchae Langberg

More information

Distributed Power Control for Interference-Limited Cooperative Relay Networks

Distributed Power Control for Interference-Limited Cooperative Relay Networks Ths full text paper was peer revewed at the drecton of IEEE Communcatons Socety subject matter experts for publcaton n the IEEE ICC 2009 proceedngs Dstrbuted Power Control for Interference-Lmted Cooperatve

More information

[WAVES] 1. Waves and wave forces. Definition of waves

[WAVES] 1. Waves and wave forces. Definition of waves 1. Waves and forces Defnton of s In the smuatons on ong-crested s are consdered. The drecton of these s (μ) s defned as sketched beow n the goba co-ordnate sstem: North West East South The eevaton can

More information

I + HH H N 0 M T H = UΣV H = [U 1 U 2 ] 0 0 E S. X if X 0 0 if X < 0 (X) + = = M T 1 + N 0. r p + 1

I + HH H N 0 M T H = UΣV H = [U 1 U 2 ] 0 0 E S. X if X 0 0 if X < 0 (X) + = = M T 1 + N 0. r p + 1 Homework 4 Problem Capacty wth CSI only at Recever: C = log det I + E )) s HH H N M T R SS = I) SVD of the Channel Matrx: H = UΣV H = [U 1 U ] [ Σr ] [V 1 V ] H Capacty wth CSI at both transmtter and

More information

GENERATION OF GOLD-SEQUENCES WITH APPLICATIONS TO SPREAD SPECTRUM SYSTEMS

GENERATION OF GOLD-SEQUENCES WITH APPLICATIONS TO SPREAD SPECTRUM SYSTEMS GENERATION OF GOLD-SEQUENCES WITH APPLICATIONS TO SPREAD SPECTRUM SYSTEMS F. Rodríguez Henríquez (1), Member, IEEE, N. Cruz Cortés (1), Member, IEEE, J.M. Rocha-Pérez (2) Member, IEEE. F. Amaro Sánchez

More information

Numerical Investigation of Power Tunability in Two-Section QD Superluminescent Diodes

Numerical Investigation of Power Tunability in Two-Section QD Superluminescent Diodes Numerca Investgaton of Power Tunabty n Two-Secton QD Superumnescent Dodes Matta Rossett Paoo Bardea Ivo Montrosset POLITECNICO DI TORINO DELEN Summary 1. A smpfed mode for QD Super Lumnescent Dodes (SLD)

More information

Xin Li Department of Information Systems, College of Business, City University of Hong Kong, Hong Kong, CHINA

Xin Li Department of Information Systems, College of Business, City University of Hong Kong, Hong Kong, CHINA RESEARCH ARTICLE MOELING FIXE OS BETTING FOR FUTURE EVENT PREICTION Weyun Chen eartment of Educatona Informaton Technoogy, Facuty of Educaton, East Chna Norma Unversty, Shangha, CHINA {weyun.chen@qq.com}

More information

Comparison of the Population Variance Estimators. of 2-Parameter Exponential Distribution Based on. Multiple Criteria Decision Making Method

Comparison of the Population Variance Estimators. of 2-Parameter Exponential Distribution Based on. Multiple Criteria Decision Making Method Appled Mathematcal Scences, Vol. 7, 0, no. 47, 07-0 HIARI Ltd, www.m-hkar.com Comparson of the Populaton Varance Estmators of -Parameter Exponental Dstrbuton Based on Multple Crtera Decson Makng Method

More information

Time-Varying Systems and Computations Lecture 6

Time-Varying Systems and Computations Lecture 6 Tme-Varyng Systems and Computatons Lecture 6 Klaus Depold 14. Januar 2014 The Kalman Flter The Kalman estmaton flter attempts to estmate the actual state of an unknown dscrete dynamcal system, gven nosy

More information

NUMERICAL DIFFERENTIATION

NUMERICAL DIFFERENTIATION NUMERICAL DIFFERENTIATION 1 Introducton Dfferentaton s a method to compute the rate at whch a dependent output y changes wth respect to the change n the ndependent nput x. Ths rate of change s called the

More information

COMPARISON OF SOME RELIABILITY CHARACTERISTICS BETWEEN REDUNDANT SYSTEMS REQUIRING SUPPORTING UNITS FOR THEIR OPERATIONS

COMPARISON OF SOME RELIABILITY CHARACTERISTICS BETWEEN REDUNDANT SYSTEMS REQUIRING SUPPORTING UNITS FOR THEIR OPERATIONS Avalable onlne at http://sck.org J. Math. Comput. Sc. 3 (3), No., 6-3 ISSN: 97-537 COMPARISON OF SOME RELIABILITY CHARACTERISTICS BETWEEN REDUNDANT SYSTEMS REQUIRING SUPPORTING UNITS FOR THEIR OPERATIONS

More information

An Upper Bound on SINR Threshold for Call Admission Control in Multiple-Class CDMA Systems with Imperfect Power-Control

An Upper Bound on SINR Threshold for Call Admission Control in Multiple-Class CDMA Systems with Imperfect Power-Control An Upper Bound on SINR Threshold for Call Admsson Control n Multple-Class CDMA Systems wth Imperfect ower-control Mahmoud El-Sayes MacDonald, Dettwler and Assocates td. (MDA) Toronto, Canada melsayes@hotmal.com

More information

MIMO Systems and Channel Capacity

MIMO Systems and Channel Capacity MIMO Systems and Channel Capacty Consder a MIMO system wth m Tx and n Rx antennas. x y = Hx ξ Tx H Rx The power constrant: the total Tx power s x = P t. Component-wse representaton of the system model,

More information

Resource Allocation with a Budget Constraint for Computing Independent Tasks in the Cloud

Resource Allocation with a Budget Constraint for Computing Independent Tasks in the Cloud Resource Allocaton wth a Budget Constrant for Computng Independent Tasks n the Cloud Wemng Sh and Bo Hong School of Electrcal and Computer Engneerng Georga Insttute of Technology, USA 2nd IEEE Internatonal

More information

A NEW DISCRETE WAVELET TRANSFORM

A NEW DISCRETE WAVELET TRANSFORM A NEW DISCRETE WAVELET TRANSFORM ALEXANDRU ISAR, DORINA ISAR Keywords: Dscrete wavelet, Best energy concentraton, Low SNR sgnals The Dscrete Wavelet Transform (DWT) has two parameters: the mother of wavelets

More information

2E Pattern Recognition Solutions to Introduction to Pattern Recognition, Chapter 2: Bayesian pattern classification

2E Pattern Recognition Solutions to Introduction to Pattern Recognition, Chapter 2: Bayesian pattern classification E395 - Pattern Recognton Solutons to Introducton to Pattern Recognton, Chapter : Bayesan pattern classfcaton Preface Ths document s a soluton manual for selected exercses from Introducton to Pattern Recognton

More information

Introduction to Information Theory, Data Compression,

Introduction to Information Theory, Data Compression, Introducton to Informaton Theory, Data Compresson, Codng Mehd Ibm Brahm, Laura Mnkova Aprl 5, 208 Ths s the augmented transcrpt of a lecture gven by Luc Devroye on the 3th of March 208 for a Data Structures

More information

Globally Optimal Multisensor Distributed Random Parameter Matrices Kalman Filtering Fusion with Applications

Globally Optimal Multisensor Distributed Random Parameter Matrices Kalman Filtering Fusion with Applications Sensors 2008, 8, 8086-8103; DOI: 10.3390/s8128086 OPEN ACCESS sensors ISSN 1424-8220 www.mdp.com/journa/sensors Artce Gobay Optma Mutsensor Dstrbuted Random Parameter Matrces Kaman Fterng Fuson wth Appcatons

More information

WAVELET-BASED IMAGE COMPRESSION USING SUPPORT VECTOR MACHINE LEARNING AND ENCODING TECHNIQUES

WAVELET-BASED IMAGE COMPRESSION USING SUPPORT VECTOR MACHINE LEARNING AND ENCODING TECHNIQUES WAVELE-BASED IMAGE COMPRESSION USING SUPPOR VECOR MACHINE LEARNING AND ENCODING ECHNIQUES Rakb Ahmed Gppsand Schoo of Computng and Informaton echnoogy Monash Unversty, Gppsand Campus Austraa. Rakb.Ahmed@nfotech.monash.edu.au

More information

IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS, VOL. 13, NO. 12, DECEMBER

IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS, VOL. 13, NO. 12, DECEMBER EEE RASACOS O WRELESS COMMUCAOS, VOL 3, O, DECEMBER 04 70 A ew Precoder Desgn for Bnd Channe Estmaton n MMO-OFDM Systems Song oh, Student Member, EEE, Youngchu Sung, Senor Member, EEE, and Mchae D Zotows,

More information

Beamforming in Wireless Relay Networks

Beamforming in Wireless Relay Networks 1 Beaforng n Wreess Reay Networks YINDI JING AND HAMID JAFARKHANI Departent of Coputer Scence and Eectrca Engneerng Unversty of Caforna Irvne Irvne CA 9697 Abstract Ths paper s on reay beaforng n wreess

More information

Pulse Coded Modulation

Pulse Coded Modulation Pulse Coded Modulaton PCM (Pulse Coded Modulaton) s a voce codng technque defned by the ITU-T G.711 standard and t s used n dgtal telephony to encode the voce sgnal. The frst step n the analog to dgtal

More information

Linear dispersion code with an orthogonal row structure for simplifying sphere decoding

Linear dispersion code with an orthogonal row structure for simplifying sphere decoding tle Lnear dsperson code wth an orthogonal row structure for smplfyng sphere decodng Author(s) Da XG; Cheung SW; Yuk I Ctaton he 0th IEEE Internatonal Symposum On Personal Indoor and Moble Rado Communcatons

More information

Outline. Communication. Bellman Ford Algorithm. Bellman Ford Example. Bellman Ford Shortest Path [1]

Outline. Communication. Bellman Ford Algorithm. Bellman Ford Example. Bellman Ford Shortest Path [1] DYNAMIC SHORTEST PATH SEARCH AND SYNCHRONIZED TASK SWITCHING Jay Wagenpfel, Adran Trachte 2 Outlne Shortest Communcaton Path Searchng Bellmann Ford algorthm Algorthm for dynamc case Modfcatons to our algorthm

More information

Secret Communication using Artificial Noise

Secret Communication using Artificial Noise Secret Communcaton usng Artfcal Nose Roht Neg, Satashu Goel C Department, Carnege Mellon Unversty, PA 151, USA {neg,satashug}@ece.cmu.edu Abstract The problem of secret communcaton between two nodes over

More information

Distributed Transmit Diversity in Relay Networks

Distributed Transmit Diversity in Relay Networks Dstrbuted Transmt Dversty n Relay etworks Cemal Akçaba, Patrck Kuppnger and Helmut Bölcske Communcaton Technology Laboratory ETH Zurch, Swtzerland Emal: {cakcaba patrcku boelcske}@nareeethzch Abstract

More information

Unified Subspace Analysis for Face Recognition

Unified Subspace Analysis for Face Recognition Unfed Subspace Analyss for Face Recognton Xaogang Wang and Xaoou Tang Department of Informaton Engneerng The Chnese Unversty of Hong Kong Shatn, Hong Kong {xgwang, xtang}@e.cuhk.edu.hk Abstract PCA, LDA

More information

Achieving Optimal Throughput Utility and Low Delay with CSMA-like Algorithms: A Virtual Multi-Channel Approach

Achieving Optimal Throughput Utility and Low Delay with CSMA-like Algorithms: A Virtual Multi-Channel Approach Achevng Optma Throughput Utty and Low Deay wth SMA-ke Agorthms: A Vrtua Mut-hanne Approach Po-Ka Huang, Student Member, IEEE, and Xaojun Ln, Senor Member, IEEE Abstract SMA agorthms have recenty receved

More information

COEFFICIENT DIAGRAM: A NOVEL TOOL IN POLYNOMIAL CONTROLLER DESIGN

COEFFICIENT DIAGRAM: A NOVEL TOOL IN POLYNOMIAL CONTROLLER DESIGN Int. J. Chem. Sc.: (4), 04, 645654 ISSN 097768X www.sadgurupublcatons.com COEFFICIENT DIAGRAM: A NOVEL TOOL IN POLYNOMIAL CONTROLLER DESIGN R. GOVINDARASU a, R. PARTHIBAN a and P. K. BHABA b* a Department

More information

Greyworld White Balancing with Low Computation Cost for On- Board Video Capturing

Greyworld White Balancing with Low Computation Cost for On- Board Video Capturing reyword Whte aancng wth Low Computaton Cost for On- oard Vdeo Capturng Peng Wu Yuxn Zoe) Lu Hewett-Packard Laboratores Hewett-Packard Co. Pao Ato CA 94304 USA Abstract Whte baancng s a process commony

More information

Structure and Drive Paul A. Jensen Copyright July 20, 2003

Structure and Drive Paul A. Jensen Copyright July 20, 2003 Structure and Drve Paul A. Jensen Copyrght July 20, 2003 A system s made up of several operatons wth flow passng between them. The structure of the system descrbes the flow paths from nputs to outputs.

More information

Dynamic Systems on Graphs

Dynamic Systems on Graphs Prepared by F.L. Lews Updated: Saturday, February 06, 200 Dynamc Systems on Graphs Control Graphs and Consensus A network s a set of nodes that collaborates to acheve what each cannot acheve alone. A network,

More information

Chapter 6. Rotations and Tensors

Chapter 6. Rotations and Tensors Vector Spaces n Physcs 8/6/5 Chapter 6. Rotatons and ensors here s a speca knd of near transformaton whch s used to transforms coordnates from one set of axes to another set of axes (wth the same orgn).

More information

Performance of Cell-Free Massive MIMO Systems with MMSE and LSFD Receivers

Performance of Cell-Free Massive MIMO Systems with MMSE and LSFD Receivers Performance of Cell-Free assve IO Systems wth SE and LSFD Recevers Elna Nayeb Unversty of Calforna San Dego, CA 92093 Alexe Ashhmn Bell Laboratores urray Hll, NJ 07974 Thomas L. arzetta Bell Laboratores

More information

Multiple Parameter Estimation With Quantized Channel Output

Multiple Parameter Estimation With Quantized Channel Output 010 Internatona ITG Workshop on Smart Antennas (WSA 010 Mutpe Parameter Estmaton Wth Quantzed Channe Output Amne Mezghan 1, Fex Antrech and Josef A. Nossek 1 1 Insttute for Crcut Theory and Sgna Processng,

More information

Grover s Algorithm + Quantum Zeno Effect + Vaidman

Grover s Algorithm + Quantum Zeno Effect + Vaidman Grover s Algorthm + Quantum Zeno Effect + Vadman CS 294-2 Bomb 10/12/04 Fall 2004 Lecture 11 Grover s algorthm Recall that Grover s algorthm for searchng over a space of sze wors as follows: consder the

More information

SIMULTANEOUS wireless information and power transfer. Joint Optimization of Power and Data Transfer in Multiuser MIMO Systems

SIMULTANEOUS wireless information and power transfer. Joint Optimization of Power and Data Transfer in Multiuser MIMO Systems Jont Optmzaton of Power and Data ransfer n Mutuser MIMO Systems Javer Rubo, Antono Pascua-Iserte, Dane P. Paomar, and Andrea Godsmth Unverstat Potècnca de Cataunya UPC, Barceona, Span ong Kong Unversty

More information

Hongyi Miao, College of Science, Nanjing Forestry University, Nanjing ,China. (Received 20 June 2013, accepted 11 March 2014) I)ϕ (k)

Hongyi Miao, College of Science, Nanjing Forestry University, Nanjing ,China. (Received 20 June 2013, accepted 11 March 2014) I)ϕ (k) ISSN 1749-3889 (prnt), 1749-3897 (onlne) Internatonal Journal of Nonlnear Scence Vol.17(2014) No.2,pp.188-192 Modfed Block Jacob-Davdson Method for Solvng Large Sparse Egenproblems Hongy Mao, College of

More information

A DIMENSION-REDUCTION METHOD FOR STOCHASTIC ANALYSIS SECOND-MOMENT ANALYSIS

A DIMENSION-REDUCTION METHOD FOR STOCHASTIC ANALYSIS SECOND-MOMENT ANALYSIS A DIMESIO-REDUCTIO METHOD FOR STOCHASTIC AALYSIS SECOD-MOMET AALYSIS S. Rahman Department of Mechanca Engneerng and Center for Computer-Aded Desgn The Unversty of Iowa Iowa Cty, IA 52245 June 2003 OUTLIE

More information

On Information Theoretic Games for Interference Networks

On Information Theoretic Games for Interference Networks On Informaton Theoretc Games for Interference Networks Suvarup Saha and Randall A. Berry Dept. of EECS Northwestern Unversty e-mal: suvarups@u.northwestern.edu rberry@eecs.northwestern.edu Abstract The

More information

Image Classification Using EM And JE algorithms

Image Classification Using EM And JE algorithms Machne earnng project report Fa, 2 Xaojn Sh, jennfer@soe Image Cassfcaton Usng EM And JE agorthms Xaojn Sh Department of Computer Engneerng, Unversty of Caforna, Santa Cruz, CA, 9564 jennfer@soe.ucsc.edu

More information

Introduction to Antennas & Arrays

Introduction to Antennas & Arrays Introducton to Antennas & Arrays Antenna transton regon (structure) between guded eaves (.e. coaxal cable) and free space waves. On transmsson, antenna accepts energy from TL and radates t nto space. J.D.

More information

Chapter - 2. Distribution System Power Flow Analysis

Chapter - 2. Distribution System Power Flow Analysis Chapter - 2 Dstrbuton System Power Flow Analyss CHAPTER - 2 Radal Dstrbuton System Load Flow 2.1 Introducton Load flow s an mportant tool [66] for analyzng electrcal power system network performance. Load

More information

Lower Bounding Procedures for the Single Allocation Hub Location Problem

Lower Bounding Procedures for the Single Allocation Hub Location Problem Lower Boundng Procedures for the Snge Aocaton Hub Locaton Probem Borzou Rostam 1,2 Chrstoph Buchhem 1,4 Fautät für Mathemat, TU Dortmund, Germany J. Faban Meer 1,3 Uwe Causen 1 Insttute of Transport Logstcs,

More information

Rethinking MIMO for Wireless Networks: Linear Throughput Increases with Multiple Receive Antennas

Rethinking MIMO for Wireless Networks: Linear Throughput Increases with Multiple Receive Antennas Retnng MIMO for Wreless etwors: Lnear Trougput Increases wt Multple Receve Antennas ar Jndal Unversty of Mnnesota Unverstat Pompeu Fabra Jont wor wt Jeff Andrews & Steven Weber MIMO n Pont-to-Pont Cannels

More information

Lecture 4: November 17, Part 1 Single Buffer Management

Lecture 4: November 17, Part 1 Single Buffer Management Lecturer: Ad Rosén Algorthms for the anagement of Networs Fall 2003-2004 Lecture 4: November 7, 2003 Scrbe: Guy Grebla Part Sngle Buffer anagement In the prevous lecture we taled about the Combned Input

More information

Hidden Markov Models

Hidden Markov Models Hdden Markov Models Namrata Vaswan, Iowa State Unversty Aprl 24, 204 Hdden Markov Model Defntons and Examples Defntons:. A hdden Markov model (HMM) refers to a set of hdden states X 0, X,..., X t,...,

More information

Performing Modulation Scheme of Chaos Shift Keying with Hyperchaotic Chen System

Performing Modulation Scheme of Chaos Shift Keying with Hyperchaotic Chen System 6 th Internatonal Advanced echnologes Symposum (IAS 11), 16-18 May 011, Elazığ, urkey Performng Modulaton Scheme of Chaos Shft Keyng wth Hyperchaotc Chen System H. Oğraş 1, M. ürk 1 Unversty of Batman,

More information

Multispectral Remote Sensing Image Classification Algorithm Based on Rough Set Theory

Multispectral Remote Sensing Image Classification Algorithm Based on Rough Set Theory Proceedngs of the 2009 IEEE Internatona Conference on Systems Man and Cybernetcs San Antono TX USA - October 2009 Mutspectra Remote Sensng Image Cassfcaton Agorthm Based on Rough Set Theory Yng Wang Xaoyun

More information

An Improved multiple fractal algorithm

An Improved multiple fractal algorithm Advanced Scence and Technology Letters Vol.31 (MulGraB 213), pp.184-188 http://dx.do.org/1.1427/astl.213.31.41 An Improved multple fractal algorthm Yun Ln, Xaochu Xu, Jnfeng Pang College of Informaton

More information

Distributed Moving Horizon State Estimation of Nonlinear Systems. Jing Zhang

Distributed Moving Horizon State Estimation of Nonlinear Systems. Jing Zhang Dstrbuted Movng Horzon State Estmaton of Nonnear Systems by Jng Zhang A thess submtted n parta fufment of the requrements for the degree of Master of Scence n Chemca Engneerng Department of Chemca and

More information

College of Computer & Information Science Fall 2009 Northeastern University 20 October 2009

College of Computer & Information Science Fall 2009 Northeastern University 20 October 2009 College of Computer & Informaton Scence Fall 2009 Northeastern Unversty 20 October 2009 CS7880: Algorthmc Power Tools Scrbe: Jan Wen and Laura Poplawsk Lecture Outlne: Prmal-dual schema Network Desgn:

More information

A Hybrid Variational Iteration Method for Blasius Equation

A Hybrid Variational Iteration Method for Blasius Equation Avalable at http://pvamu.edu/aam Appl. Appl. Math. ISSN: 1932-9466 Vol. 10, Issue 1 (June 2015), pp. 223-229 Applcatons and Appled Mathematcs: An Internatonal Journal (AAM) A Hybrd Varatonal Iteraton Method

More information

Multiple Parameter Estimation With Quantized Channel Output

Multiple Parameter Estimation With Quantized Channel Output Mutpe Parameter Estmaton Wth Quantzed Channe Output Amne Mezghan 1, Fex Antrech and Josef A. Nossek 1 1 Insttute for Crcut Theory and Sgna Processng, Technsche Unverstät München, 8090 Munch, Germany German

More information

A General Method for SER Computation of M-PAM and M-PPM UWB Systems for Indoor Multiuser Communications

A General Method for SER Computation of M-PAM and M-PPM UWB Systems for Indoor Multiuser Communications A Genera Method for SER Computaton of M-PAM and M-PPM UWB Systems for Indoor Mutuser Communcatons G Durs Isttuto Superore Maro Boea Corso Trento 21 I-10129 Torno, Itay E-ma: durs@smt J Romme IMST GmH Car

More information

Comments on a secure dynamic ID-based remote user authentication scheme for multiserver environment using smart cards

Comments on a secure dynamic ID-based remote user authentication scheme for multiserver environment using smart cards Comments on a secure dynamc ID-based remote user authentcaton scheme for multserver envronment usng smart cards Debao He chool of Mathematcs tatstcs Wuhan nversty Wuhan People s Republc of Chna Emal: hedebao@63com

More information

COMBINING SPATIAL COMPONENTS IN SEISMIC DESIGN

COMBINING SPATIAL COMPONENTS IN SEISMIC DESIGN Transactons, SMRT- COMBINING SPATIAL COMPONENTS IN SEISMIC DESIGN Mchae O Leary, PhD, PE and Kevn Huberty, PE, SE Nucear Power Technooges Dvson, Sargent & Lundy, Chcago, IL 6060 ABSTRACT Accordng to Reguatory

More information

The Jacobsthal and Jacobsthal-Lucas Numbers via Square Roots of Matrices

The Jacobsthal and Jacobsthal-Lucas Numbers via Square Roots of Matrices Internatonal Mathematcal Forum, Vol 11, 2016, no 11, 513-520 HIKARI Ltd, wwwm-hkarcom http://dxdoorg/1012988/mf20166442 The Jacobsthal and Jacobsthal-Lucas Numbers va Square Roots of Matrces Saadet Arslan

More information

L-Edge Chromatic Number Of A Graph

L-Edge Chromatic Number Of A Graph IJISET - Internatona Journa of Innovatve Scence Engneerng & Technoogy Vo. 3 Issue 3 March 06. ISSN 348 7968 L-Edge Chromatc Number Of A Graph Dr.R.B.Gnana Joth Assocate Professor of Mathematcs V.V.Vannaperuma

More information

Lab 2e Thermal System Response and Effective Heat Transfer Coefficient

Lab 2e Thermal System Response and Effective Heat Transfer Coefficient 58:080 Expermental Engneerng 1 OBJECTIVE Lab 2e Thermal System Response and Effectve Heat Transfer Coeffcent Warnng: though the experment has educatonal objectves (to learn about bolng heat transfer, etc.),

More information

CLOSED-FORM CHARACTERIZATION OF THE CHANNEL CAPACITY OF MULTI-BRANCH MAXIMAL RATIO COMBINING OVER CORRELATED NAKAGAMI FADING CHANNELS

CLOSED-FORM CHARACTERIZATION OF THE CHANNEL CAPACITY OF MULTI-BRANCH MAXIMAL RATIO COMBINING OVER CORRELATED NAKAGAMI FADING CHANNELS CLOSED-FORM CHARACTERIZATION OF THE CHANNEL CAPACITY OF MULTI-BRANCH MAXIMAL RATIO COMBINING OVER CORRELATED NAKAGAMI FADING CHANNELS Yawgeng A. Cha and Karl Yng-Ta Hang Department of Commncaton Engneerng,

More information