On the Capacity and Simulation of 3-D MIMO Mobile-to-Mobile Relay Fading Channels
|
|
- Colin Craig
- 5 years ago
- Views:
Transcription
1 200 I 2st International yposiu on Personal Indoor and Mobile adio Counications On the Capacity and iulation of 3- MIMO Mobile-to-Mobile elay Fading Channels anouel T. Michailidis Panagiotis Theofilakos and thanasios G. Kanatas epartent of igital ystes University of Piraeus Piraeus Greece {eichail ptheo kanatas}@unipi.gr bstract This paper proposes a theoretical fraework for the evaluation of the capacity of ultiple-int ultiple-outt (MIMO obile-to-obile (M-to-M fading channels in dual-hop aplify-and-forward (F single-relay wireless counications networks. The evaluation is based on a recently introduced threediensional (3- geoetry-based reference odel for these channels. Fro this odel 3- deterinistic and statistical suof-sinusoids (o based siulation odels are also developed under 3- non-isotropic scattering conditions. The perforance of the siulation odels is verified through siulation results. Keywords-plify-and-forward relay links; channel capacity; MIMO channels; obile-to-obile channels; siulation; 3- scattering I. INTOUCTION Mobile-to-Mobile (M-to-M counications intend to substantially contribute to obile ad hoc networks intelligent transportation systes broadband obile ultiedia services and relay-based cellular networks by expanding the network range and increasing the obility support. owever harsh ultipath fading effects usually degrade the transission link quality. Cobining the features of cooperative diversity via wireless relays with the benefits of ultiple-int ultipleoutt (MIMO technology akes it possible to fulfill the growing deands of enhanced reliability and flexibility with increased channel capacity. owever the analysis design and perforance evaluation of MIMO M-to-M relay-based systes necessitate a thorough investigation of the underlying radio channel. Therefore realistic channel odels are indispensable. In [] [2] two-diensional (2- two-ring odels for MIMO M-to-M channels were proposed while a threediensional (3- two-cylinder odel was presented in [3]. Nevertheless the statistical properties of these channels are quite different fro MIMO M-to-M relay channels where a transceiver unit called a relay ( is interposed between a source ( and a destination (. In this case all the obiles stations are affected by the scatterers in their local vicinity. Based on the two-ring odels a three-ring odel for MIMO M-to-M relay fading channels was proposed in [4] where a separate ring of scatterers around the relay is considered in addition to the rings around the source and the destination. This odel assues that the radio waves travel only in the horizontal plane. owever in densely built-up urban areas the antenna arrays are usually located lower than the surrounding scatterers and the scattered waves propagate by diffraction fro vertical structures i.e. buildings to the street level. Then the waves ay travel in both horizontal and vertical planes i.e. 3- scattering occurs. Thus aziuth and elevation angles for the incidence of the radio waves should be introduced [3]. ecently the authors addressed the design of a 3- reference geoetry-based odel for MIMO M-to-M fading channels in dual-hop aplify-and-forward (F single-relay networks [5]. This odel assues that the scatterers in the vicinity of the source the relay and the destination lie on the surface of three cylinders which reflect the influence of three heterogeneous 3- non-isotropic scattering environents. In this paper using this reference odel the channel capacity of unifor linear antenna arrays (Us is studied and evaluated for different odel paraeters. The reference odel is practically non-realizable since an infinite nuber of local scatterers is assued. By adopting the su-of-sinusoids (o principle [6] due to its reasonably low cotational costs and the explicit inclusion of spatial inforation e.g. the ultipath angles of arrival/departure this paper proposes deterinistic and statistical siulation odels with a finite nuber of scatterers under the fraework of the reference odel. The reainder of the paper is organized as follows. ection II presents the syste odel and defines the channel capacity. ection III details the syste geoetry while ection IV describes the 3- reference odel. eterinistic and statistical siulation odels are developed in ection V. ection VI provides nuerical and siulation results. Finally conclusions are drawn in ection VII. II. YTM MO N CNN CPCITY This paper considers a narrowband MIMO M-to-M relaybased counications syste with and antenna eleents at the source the relay and the destination respectively. ll antennas are oni-directional with low height and are nubered as p p q q and u u respectively. It is assued that the direct link between source and destination is obstructed. Then the entire -- MIMO syste can be separated into the - and - MIMO subsystes. The received signal vector at the relay is given by P y( t ( t s( t + n ( t ( /0/$ I 2370
2 where P is the total source transit power ( t is the channel transfer atrix for the transission link fro the source to the relay ( t s is the signal vector transitted by the source with ss I and ( N n( t NC 0 o I is the zero-ean circularly syetric coplex Gaussian noise vector at the relay where N o is the noise power spectral density (P. The relay noralizes the received signal power to unity which is 2 y ( P + No and retransits it to the destination with ean total power P. The received signal vector at the destination is P y( t ( t y( t + n ( t (2 P N ( + o where ( t is the channel transfer atrix for the transission link fro the relay to the destination. n( t NC ( 0 No I is the noise vector at the destination and N o is the noise P. Using ( and (2 the int-outt relation for the overall -- syste becoes PP y( t ( t s( t + n eff ( t (3 P N ( + o where ( ( ( t t t is the effective channel transfer atrix describing the MIMO relay fading channel and ( t P / ( P + N ( t ( t + ( t n eff o n n is the effective noise of the -- syste. This channel is assued static for two consecutive tieslots i.e. the period needed to coplete the F operation. Conditioning on and the effective noise of the syste is Gaussian distributed with covariance atrix ρ n ( t N ( ( eff o I + t t ( + ρ (4 where I is an identity atrix of size and ρ P / No and ρ P / No denote the ean received signal-to-noise ratio (N per antenna at the relay and destination node respectively. By assuing that the channel is known to the /2 destination ultiplying y on the left by n ( t applying eff the atrix inversion lea to calculate n ( t and using eff known results fro inforation theory we obtain the instantaneous channel capacity (in bits per second per hertz: ( log det + χ ( t C t 2 I ( ( I ( ( ( t G t t t (5 where ρ ρ χ ( + ρ + ( ( ( + (6 ρ G t t t I. (7 ρ The eleents of ( t can be directly generated using the proposed siulation odels in ection V. lternatively since ( t ( t ( t ( t can be indirectly derived using the reference odel in ection IV. In particular ( t can be derived as follows [7] (8 /2 T /2 w where w is a stochastic atrix with independent and identically distributed (i.i.d. zero-ean coplex Gaussian entries and are the source and relay (- subsyste correlation atrices ( /2 denotes the atrix square root operation and ( T denotes the transpose operation. The MIMO channel atrix can be generated by following a siilar procedure to that used to generate. III. T 3- T-CYIN CTTING MO Fig. shows the 3- scattering odel for a 2x2x2 MIMO M-to-M relay fading channel [5]. One observes that the relay is positioned at an angle ω with respect to the source while the location of the relay seen fro the destination is described by the angle ω. The antenna spacing at the source relay and destination is denoted by δ δ and δ respectively while O O and O are the corresponding antenna array centers. Moreover the angles θ θ andθ represent the orientation of each antenna array relative to the x-axis and ψ ψ and ψ describe the elevation angle of the eleents p q and u respectively relative to the x-y plane. In addition the source relay and destination are oving with speeds v v and v respectively while the angles γ γ and γ control the oving directions. Note that denotes the projection of a point onto the x-y plane. It is assued that M scatterers denoted by ( ( 2... M are situated around the source on the surface of a cylinder of radius. iilarly ( k ( l ( k 2... K and ( l 2... scatterers in the ( k ( l vicinity of the relay with K and for k l lie on a surface of a cylinder of radius while N scatterers denoted by ( n ( n 2... N are situated ad the destination on the surface of a cylinder of radius. Only double-bounce non-line-of-sight (No propagation conditions are considered which are doinant in urban 237
3 ( acrocells propagation environents [8]. The angles a and ( β denote the aziuth angle of departure (o and the elevation angle of departure (o respectively of the wave ( transitted fro the source and ipinged on while ( k a ( k and β are the aziuth angle of arrival (o and the elevation angle of arrival (o respectively of the wave scattered fro ( k ( and received at the relay. Besides a l ( l and β denote the o and the o respectively of the wave transitted fro the relay and ipinged on ( l while ( n ( n a and β are the o and the o respectively of the wave scattered fro ( n and received at the destination. ue to the heterogeneity of the scattering environents and the double-bounce scattering the angles of departure are independent fro the angles of arrival while the aziuth and elevation angles are also independent [9]. It is assued that the inequalities ax { } d and { } d hold where d and d denote the distances O to O and O to O respectively. It is also assued that ax { δ δ δ} in { } Finally it is assued that d < 4 /( λ ( ( and d < 4 /( λ ( ( where λ is the carrier wavelength. ence the channel does not experience keyhole behavior [7]. z ( v ( β π γ y x ( k v ( k β π γ ource ψ O ( k a O θ q elay ( l β ( l a estination p u ψ ψ O O p ( a θ v u O π γ θ O q ( l 2- Projection d O ω O d ω O ( n β ( n a Figure. The three-cylinder scattering odel for a 2x2x2 MIMO M-to-M single-relay dual-hop fading channel [5]. ( n IV. T 3- FNC MO The reference odel assues that the nuber of scatterers in the vicinity of the source the relay and the destination is infinite. Then for 2 the received coplex faded envelope of the link fro the source eleent p to the destination eleent u via the relay eleent q is given by [5] K M N h t li C C ( K KMN k l n M N where * * ( B B BB exp( jϕk jϕln jϕ jϕ exp j2 πt f + f + f + f (9 ( exp jπ( 3 2 p δ sinψ sin β ( ( exp jπ ( 3 2 p δ cosψ cos β cos ( θ a ( n exp jπ ( 3 2u δsinψsin β ( n ( n exp jπ ( 3 2u δ cosψ cos β cos ( θ a ( k B exp jπ( 3 2q δ sinψ sin β ( k ( k exp jπ ( 3 2q δ cosψ cos β cos ( θ a ( l B exp jπ( 3 2q δ sinψ sin β ( l ( l exp jπ ( 3 2q δ cosψ cos β cos ( θ a exp { 2 cos cos k C j π a ω ( a ω / λ } ( { } exp 2 cos n cos l C j π a ω a ω / λ ϕ 2 π d + + / λ ( d ϕ 2 π + + / λ ( f f cos a γ cos β ( ( n ( n ( k ( k ( ( l ( l ax f f cos a γ cos β ax f f cos a γ cos β ax f f cos a γ cos β (0 ax and fax v / λ fax v / λ and fax v / λ are the axiu oppler shifts associated with the source destination and relay respectively. The phases ϕ k and ϕ ln are rando variables uniforly distributed in the interval [02π]. The space-tie correlation function (TCF between h ( t and h ( t is given by * ( δ δ δ τ Ε ( ( + τ p u h t hp u t ( 2372
4 where ( * denotes coplex conjugate operation and Ε [] is the statistical expectation operator. ince the nuber of scatterers is infinite the discrete o o o and o can be replaced with continuous rando variables a β a β a β a and β respectively with a joint probability density function (pdf. This joint pdf can be decoposed to a product of eight separate pdfs since the aforeentioned rando variables are utually independent. The von Mises pdf [0] is used to characterize the os and os. Considering the o a this pdf is defined as exp k cos ( a μ f ( a - π a π (2 2π I0 ( k where I0 ( is the zeroth-order odified Bessel function of the first kind μ [ ππ ] is the ean angle at which the scatterers in the vicinity of the source are distributed in the xy - plane and k 0 controls the spread around the ean. The Parson s pdf [] is used to characterize the os and os. Considering the o β this pdf is defined as f ( β π π β π cos β < β 4 β 2 β 2 0 otherwise (3 where β is the axiu value of β usually less than 20 value typical for M-to-M counications [9]. Using (9 (2 and (3 and the results in [2] [4] and [5] ( can be written as p u ( δ δ δ τ ( δ τ ( δ τ ( δ τ where ( δ τ and (4 δ τ denote the source and the destination TCFs respectively q q ( δ τ ( δ τ ( δ τ (5 is the relay TCF of the -- syste and ( δ τ and ( δ τ denote the relay TCF of the - and - systes respectively. The source TCF is derived as [3] [5] 2 2 ( + cos β β π β I0 x y ( δ τ π cos 2 β β 4 0 β I k exp( j2π( p p δ sinψ sin β / λ dβ (6 where x j2π( p p δ cosθ cos ψ / λ j2πτ f cosγ + k cos μ /cos β (7 ax ( y j2π p p δ sinθ cos ψ / λ j2πτ f sinγ + k sin μ /cos β. (8 ax The other TCFs can be siilarly defined fro (6-(8 by replacing the indices. Clearly the TCF in (4 is accurate only over a tie duration that is uch saller than in / v / v / v. { } V. 3- IMUTION MO The reference odel assues an infinite nuber of scatterers and prevents practical realization. owever fro this odel o-based siulation odels with a finite nuber of scatterers can be developed. Using (9 and the results in [3] the following received coplex faded envelope is proposed: ( /2 h t KKM M NN K K M M N N k k l l n n n n * * ( jϕ k k jϕ llnn jϕ jϕ j πt( f fn n fk k fl l C C B B + B B k k l l k k l l k k l l exp exp where K K K M M M N N N ( exp sin sin / jπδ ψ β ( ( exp jπδ cosψ cos β cos ( θ a ( n n exp sin sin / n jπδ ψ β ( n ( n exp jπδ cosψ cos β cos ( θ a ( k B k exp sin sin / k jπδ ψ β ( k ( k exp jπδ cosψ cos β cos ( θ a ( l B l exp sin sin / l jπδ ψ β ( l ( l exp jπδ cosψ cos β cos ( θ a ( C exp{ 2 cos k j π ( a ω ( k cos ( a ω / λ} ( n C n exp{ 2 cos l j π ( a ω ( l cos ( a ω / λ} ( f fax cos a γ cos β ( n ( n ( k ( k ( ( l ( l f f cos a γ cos β n n ax f f cos a γ cos β k k ax l l ax (9 f f cos a γ cos β. (
5 Note that the indices and in (9 and (20 are associated with the ultipath aziuth and elevation angles respectively. Using ( (9 and (20 the TCF between h ( t and ( t h is derived as follows ( δ δ δ τ p u K K M M N N ( KK M M N N k k l l n n * * 2 ( B k k B l l B k k B l l j πτ ( f fn n fk k fl l 2 2 n n + exp (2 To successfully approxiate the statistical properties of the reference odel the ultipath aziuth and elevation angles should be estiated. lthough the p -nor ethod (PNM [2] provides axiu accuracy and versatility it requires the iniization of ultiple error functions in order to obtain proper correlation properties. This iniization ust be siultaneously applied for the aziuth and elevation angles. Thus sipler and less coplex ethods are desirable. First a deterinistic (ergodic statistical odel is developed. This odel cotes fixed values for the aziuth and elevation angles and needs a single siulation trial to obtain the desired statistical properties. Based on [3] we ( generate the o a ( and the o β as follows ( ( a F 0.5 / M (22 ( 2β 2 β arcsin (23 π M for... M and... M. The function F ( denotes the inverse function of the von Mises cuulative distribution function (cdf and can be nuerically evaluated [2]. One can siilarly generate the other aziuth and elevation angles. The coplexity of this odel is reduced by choosing a iniu but also adequate nuber of scatterers. statistical (Monte Carlo odel is also developed. The statistical properties of this odel vary for each siulation trial and converge to the theoretical ones after averaging over a sufficient nuber of siulation trials for an arbitrary finite nuber of scatterers. Based on [3] we generate the o ( ( a and the o β as follows β ( ( 2β 2( + ζ ( a F + δ / M (24 arcsin π M (25 for... M and... M where δ and ζ are independent rando variables uniforly distributed in the interval [0. The other aziuth and elevation angles can be siilarly generated. The statistical odel is ore coplex than the deterinistic odel due to the average procedure and the generation of ultiple rando variables. VI. NUMIC N IMUTION UT This section deonstrates the theoretical derivations described above. Figs. 2-4 study the ergodic capacity C erg [C] of a MIMO M-to-M relay fading channel obtained using the 3- reference odel and (5-(8. Unless indicated otherwise the values of the odel paraeters used are ρ ρ 20 db 2 δ δ δ λ θ θ θ π /2 ψ ψ ψ π / 0 k k k k 5 μ μ μ μ 0 β β β β 20 and fax fax fax 0 z. Fig. 2 shows the C erg as a function of the antenna spacing at the relay for different antenna spacing at the source and destination. One observes that increasing the spacing fro 0.5λ to λ increases the capacity fro 7. to 8.5 bps/z. Nevertheless increasing the spacing beyond λ has a negligible effect on the capacity. Fig. 3 illustrates the shape of C erg for different ean received N at the relay and the destination node. The results reveal that the capacity strongly depends on the N and takes values between 0.8 and 2 bps/z. rgodic capacity (bps/z δ δ 0.5λ δ δ λ δ δ 2λ δ /λ Figure 2. rgodic capacity of a 2x2x2 MIMO M-to-M relay channel for different antenna inter-eleent spacing at the source relay and destination. rgodic capacity (bps/z ρ (db ρ (db Figure 3. rgodic capacity of a 2x2x2 MIMO M-to-M relay channel for different ean received N per antenna at the relay and the destination
6 rgodic capacity (bps/z pace-tie Correlation β β o β β 5 o β β 0 o β β 5 o β β 20 o β (β ( o Figure 4. rgodic capacity of a 2x2x2 MIMO M-to-M relay channel for different axiu os and os and vertically placed antennas eference Model eterinistic Model tatistical Model Noralized Tie elay [f τ] ax Figure 5. eal part of the TCFs of the reference and siulation odels. Fig. 4 justifies the inclusion of the third diension of the odel and shows the C erg as a function of the axiu os and os for ψ ψ ψ π / 2. One observes that increasing β and β fro to 20 decreases the capacity by 0.5 bps/z. owever increasing β and β decreases the capacity loss. Therefore the 2- odel in [4] overestiates the available capacity. Fig. 5 exaines the perforance of the siulation odels and copares the real part of their TCF with the real part of the TCF of the reference odel. The values of the odel paraeters used are 2 δ δ δ λ θ θ θ π /6 ψ ψ ψ π /4 k 8 k k 5 k 2 μ 0 μ μ π /6 μ π /3 β β β β 5 γ 0 γ π /4 and γ π /2. noralized sapling period faxt 0.0 is used where T is the sapling period and f ax f. ax f ax The TCF of the deterinistic odel is obtained for K M N 30 and K M N 4. Besides the TCF of the statistical odel is obtained for K M N 20 K M N 3 and 30 siulation trials. One observes that the TCF of the deterinistic odel closely atches the reference one whereas the TCF of the statistical odel perfectly reproduces the reference one. VII. CONCUION In this paper the capacity of outdoor MIMO M-to-M fading channels in F relay-based networks has been studied under 3- non-isotropic scattering conditions. eterinistic and statistical siulation odels for these channels have been also developed and the inherent advantages of the o principle have been exploited. The results have confired that the siulation odels approxiate the statistical properties of the reference odel with high precision. To further validate the utility of the reference odel future work could be devoted to coparing its statistical properties with easureent data. CKNOWGMNT This work is co-funded by the uropean Union and national resources under the National trategic eference Fraework (NF and the T research project: INTNTION. FNC []. G. Zajic and G.. tüber pace-tie correlated obile-to-obile channels: Modeling and siulation I Trans. on Vehic. Technol. vol. 57 no. 2 pp Mar [2] M. Pätzold B. O. ogstad and N. Youssef Modeling analysis and siulation of MIMO obile-to-obile fading channels I Trans. on Wireless Counications vol.7 no.2 pp Feb [3]. G. Zajic and G.. tüber Three-diensional odeling siulation and capacity analysis of space-tie correlated obile-to-obile channels I Trans. on Vehic. Techn. vol. 57 no. 4 pp Jul [4] B. Talha and M. Pätzold Geoetrical Three-ing-Based Model for MIMO Mobile-to-Mobile Fading Channels in Cooperative Networks UIP Journal on dvances in ignal Processing vol [5] Ε. T. Michailidis P. Theofilakos and. G. Kanatas 3- Model for MIMO Mobile-to-Mobile plify-and-forward elay Fading Channels in Proc. 6th uropean Conference on ntennas and Propagation (ucp 202 Prague Czech eblic Mar [6]. O. ice Matheatical nalysis of ando Noise Bell yste Technical of Journal Vol. 23 pp [7]. Gesbert. Bölcskei.. Gore and. J. Paulraj Outdoor MIMO wireless channels: Models and perforance prediction I Trans. Coun. vol. 50 no. 2 pp ec [8]. G. Zajic G.. tüber T. G. Pratt and. T. Nguyen Wideband MIMO Mobile-to-Mobile Channels: Geoetry-Based tatistical Modeling With xperiental Verification I Trans. on Vehic. Technol vol.58 no.2 pp Feb [9] Y. Yaada Y. bine and N. Nakajia Base station/vehicular antenna design techniques eployed in high capacity land obile counications syste ev. lectr. Coun. ab. vol. 35 no. 2 pp [0]. bdi and M. Kaveh space-tie correlation odel for ultieleent antenna systes in obile fading channels I J. on elec. reas in Counic. vol. 20 no. 3 pp pr [] J.. Parsons and. M.. Turkani Characterisation of obile radio signals:model description in Proc. Inst. lectr. ng. I Coun. peech Vision vol. 38 no. 6 pp ec. 99. [2] K. V. Mardia and. P. Jupp irectional tatistics New York. Wiley
A 3-D Wideband MIMO Channel Model for Mobile-to-Mobile Relay-based Communications
03 IEEE 4th International yposiu on Personal Indoor and Mobile adio Counications: Fundaentals and PHY Track A 3- Wideband MIMO Channel Model for Mobile-to-Mobile elay-based Counications Eanouel T. Michailidis
More informationEmmanouel T. Michailidis Athanasios G. Kanatas
Emmanouel T. Michailidis (emichail@unipi.gr) George Efthymoglou (gefthymo@unipi.gr) gr) Athanasios G. Kanatas (kanatas@unipi.gr) University of Piraeus Department of Digital Systems Wireless Communications
More informationNon-Parametric Non-Line-of-Sight Identification 1
Non-Paraetric Non-Line-of-Sight Identification Sinan Gezici, Hisashi Kobayashi and H. Vincent Poor Departent of Electrical Engineering School of Engineering and Applied Science Princeton University, Princeton,
More informationSPECTRUM sensing is a core concept of cognitive radio
World Acadey of Science, Engineering and Technology International Journal of Electronics and Counication Engineering Vol:6, o:2, 202 Efficient Detection Using Sequential Probability Ratio Test in Mobile
More informationProc. of the IEEE/OES Seventh Working Conference on Current Measurement Technology UNCERTAINTIES IN SEASONDE CURRENT VELOCITIES
Proc. of the IEEE/OES Seventh Working Conference on Current Measureent Technology UNCERTAINTIES IN SEASONDE CURRENT VELOCITIES Belinda Lipa Codar Ocean Sensors 15 La Sandra Way, Portola Valley, CA 98 blipa@pogo.co
More informationDetection and Estimation Theory
ESE 54 Detection and Estiation Theory Joseph A. O Sullivan Sauel C. Sachs Professor Electronic Systes and Signals Research Laboratory Electrical and Systes Engineering Washington University 11 Urbauer
More informationAntenna Saturation Effects on MIMO Capacity
Antenna Saturation Effects on MIMO Capacity T S Pollock, T D Abhayapala, and R A Kennedy National ICT Australia Research School of Inforation Sciences and Engineering The Australian National University,
More informationSparse beamforming in peer-to-peer relay networks Yunshan Hou a, Zhijuan Qi b, Jianhua Chenc
3rd International Conference on Machinery, Materials and Inforation echnology Applications (ICMMIA 015) Sparse beaforing in peer-to-peer relay networs Yunshan ou a, Zhijuan Qi b, Jianhua Chenc College
More informationExtension of CSRSM for the Parametric Study of the Face Stability of Pressurized Tunnels
Extension of CSRSM for the Paraetric Study of the Face Stability of Pressurized Tunnels Guilhe Mollon 1, Daniel Dias 2, and Abdul-Haid Soubra 3, M.ASCE 1 LGCIE, INSA Lyon, Université de Lyon, Doaine scientifique
More informationA remark on a success rate model for DPA and CPA
A reark on a success rate odel for DPA and CPA A. Wieers, BSI Version 0.5 andreas.wieers@bsi.bund.de Septeber 5, 2018 Abstract The success rate is the ost coon evaluation etric for easuring the perforance
More informationA Low-Complexity Congestion Control and Scheduling Algorithm for Multihop Wireless Networks with Order-Optimal Per-Flow Delay
A Low-Coplexity Congestion Control and Scheduling Algorith for Multihop Wireless Networks with Order-Optial Per-Flow Delay Po-Kai Huang, Xiaojun Lin, and Chih-Chun Wang School of Electrical and Coputer
More informationHIGH RESOLUTION NEAR-FIELD MULTIPLE TARGET DETECTION AND LOCALIZATION USING SUPPORT VECTOR MACHINES
ICONIC 2007 St. Louis, O, USA June 27-29, 2007 HIGH RESOLUTION NEAR-FIELD ULTIPLE TARGET DETECTION AND LOCALIZATION USING SUPPORT VECTOR ACHINES A. Randazzo,. A. Abou-Khousa 2,.Pastorino, and R. Zoughi
More informationOn the Design of MIMO-NOMA Downlink and Uplink Transmission
On the Design of MIMO-NOMA Downlink and Uplink Transission Zhiguo Ding, Meber, IEEE, Robert Schober, Fellow, IEEE, and H. Vincent Poor, Fellow, IEEE Abstract In this paper, a novel MIMO-NOMA fraework for
More informationFinite-State Markov Modeling of Flat Fading Channels
International Telecounications Syposiu ITS, Natal, Brazil Finite-State Markov Modeling of Flat Fading Channels Cecilio Pientel, Tiago Falk and Luciano Lisbôa Counications Research Group - CODEC Departent
More informationMultiscale Entropy Analysis: A New Method to Detect Determinism in a Time. Series. A. Sarkar and P. Barat. Variable Energy Cyclotron Centre
Multiscale Entropy Analysis: A New Method to Detect Deterinis in a Tie Series A. Sarkar and P. Barat Variable Energy Cyclotron Centre /AF Bidhan Nagar, Kolkata 700064, India PACS nubers: 05.45.Tp, 89.75.-k,
More informationA note on the multiplication of sparse matrices
Cent. Eur. J. Cop. Sci. 41) 2014 1-11 DOI: 10.2478/s13537-014-0201-x Central European Journal of Coputer Science A note on the ultiplication of sparse atrices Research Article Keivan Borna 12, Sohrab Aboozarkhani
More informationPolygonal Designs: Existence and Construction
Polygonal Designs: Existence and Construction John Hegean Departent of Matheatics, Stanford University, Stanford, CA 9405 Jeff Langford Departent of Matheatics, Drake University, Des Moines, IA 5011 G
More informationExperimental Design For Model Discrimination And Precise Parameter Estimation In WDS Analysis
City University of New York (CUNY) CUNY Acadeic Works International Conference on Hydroinforatics 8-1-2014 Experiental Design For Model Discriination And Precise Paraeter Estiation In WDS Analysis Giovanna
More informationChaotic Coupled Map Lattices
Chaotic Coupled Map Lattices Author: Dustin Keys Advisors: Dr. Robert Indik, Dr. Kevin Lin 1 Introduction When a syste of chaotic aps is coupled in a way that allows the to share inforation about each
More informationFeature Extraction Techniques
Feature Extraction Techniques Unsupervised Learning II Feature Extraction Unsupervised ethods can also be used to find features which can be useful for categorization. There are unsupervised ethods that
More informationOn Constant Power Water-filling
On Constant Power Water-filling Wei Yu and John M. Cioffi Electrical Engineering Departent Stanford University, Stanford, CA94305, U.S.A. eails: {weiyu,cioffi}@stanford.edu Abstract This paper derives
More informationCopyright: 2003 by WPMC Steering Board
Copyright: 2003 by WPMC Steering Board Copyright and reproduction perission: All rights are reserved and no part of this publication ay be reproduced or transitted in any for or by any eans, electronic
More informationPhysics 215 Winter The Density Matrix
Physics 215 Winter 2018 The Density Matrix The quantu space of states is a Hilbert space H. Any state vector ψ H is a pure state. Since any linear cobination of eleents of H are also an eleent of H, it
More informationANALYSIS OF HALL-EFFECT THRUSTERS AND ION ENGINES FOR EARTH-TO-MOON TRANSFER
IEPC 003-0034 ANALYSIS OF HALL-EFFECT THRUSTERS AND ION ENGINES FOR EARTH-TO-MOON TRANSFER A. Bober, M. Guelan Asher Space Research Institute, Technion-Israel Institute of Technology, 3000 Haifa, Israel
More informationMatrix Inversion-Less Signal Detection Using SOR Method for Uplink Large-Scale MIMO Systems
Matrix Inversion-Less Signal Detection Using SOR Method for Uplin Large-Scale MIMO Systes Xinyu Gao, Linglong Dai, Yuting Hu, Zhongxu Wang, and Zhaocheng Wang Tsinghua National Laboratory for Inforation
More informationTEST OF HOMOGENEITY OF PARALLEL SAMPLES FROM LOGNORMAL POPULATIONS WITH UNEQUAL VARIANCES
TEST OF HOMOGENEITY OF PARALLEL SAMPLES FROM LOGNORMAL POPULATIONS WITH UNEQUAL VARIANCES S. E. Ahed, R. J. Tokins and A. I. Volodin Departent of Matheatics and Statistics University of Regina Regina,
More informationGeneral Properties of Radiation Detectors Supplements
Phys. 649: Nuclear Techniques Physics Departent Yarouk University Chapter 4: General Properties of Radiation Detectors Suppleents Dr. Nidal M. Ershaidat Overview Phys. 649: Nuclear Techniques Physics Departent
More informationBlock designs and statistics
Bloc designs and statistics Notes for Math 447 May 3, 2011 The ain paraeters of a bloc design are nuber of varieties v, bloc size, nuber of blocs b. A design is built on a set of v eleents. Each eleent
More informationUpper and Lower Bounds on the Capacity of Wireless Optical Intensity Channels
ISIT7, Nice, France, June 4 June 9, 7 Upper and Lower Bounds on the Capacity of Wireless Optical Intensity Channels Ahed A. Farid and Steve Hranilovic Dept. Electrical and Coputer Engineering McMaster
More informationNonmonotonic Networks. a. IRST, I Povo (Trento) Italy, b. Univ. of Trento, Physics Dept., I Povo (Trento) Italy
Storage Capacity and Dynaics of Nononotonic Networks Bruno Crespi a and Ignazio Lazzizzera b a. IRST, I-38050 Povo (Trento) Italy, b. Univ. of Trento, Physics Dept., I-38050 Povo (Trento) Italy INFN Gruppo
More informationSupport recovery in compressed sensing: An estimation theoretic approach
Support recovery in copressed sensing: An estiation theoretic approach Ain Karbasi, Ali Horati, Soheil Mohajer, Martin Vetterli School of Coputer and Counication Sciences École Polytechnique Fédérale de
More informationPULSE-TRAIN BASED TIME-DELAY ESTIMATION IMPROVES RESILIENCY TO NOISE
PULSE-TRAIN BASED TIME-DELAY ESTIMATION IMPROVES RESILIENCY TO NOISE 1 Nicola Neretti, 1 Nathan Intrator and 1,2 Leon N Cooper 1 Institute for Brain and Neural Systes, Brown University, Providence RI 02912.
More informationDistributed Subgradient Methods for Multi-agent Optimization
1 Distributed Subgradient Methods for Multi-agent Optiization Angelia Nedić and Asuan Ozdaglar October 29, 2007 Abstract We study a distributed coputation odel for optiizing a su of convex objective functions
More information2nd Workshop on Joints Modelling Dartington April 2009 Identification of Nonlinear Bolted Lap Joint Parameters using Force State Mapping
Identification of Nonlinear Bolted Lap Joint Paraeters using Force State Mapping International Journal of Solids and Structures, 44 (007) 8087 808 Hassan Jalali, Haed Ahadian and John E Mottershead _ Γ
More informationSupport Vector Machine Classification of Uncertain and Imbalanced data using Robust Optimization
Recent Researches in Coputer Science Support Vector Machine Classification of Uncertain and Ibalanced data using Robust Optiization RAGHAV PAT, THEODORE B. TRAFALIS, KASH BARKER School of Industrial Engineering
More informationThe Transactional Nature of Quantum Information
The Transactional Nature of Quantu Inforation Subhash Kak Departent of Coputer Science Oklahoa State University Stillwater, OK 7478 ABSTRACT Inforation, in its counications sense, is a transactional property.
More informationW-BASED VS LATENT VARIABLES SPATIAL AUTOREGRESSIVE MODELS: EVIDENCE FROM MONTE CARLO SIMULATIONS
W-BASED VS LATENT VARIABLES SPATIAL AUTOREGRESSIVE MODELS: EVIDENCE FROM MONTE CARLO SIMULATIONS. Introduction When it coes to applying econoetric odels to analyze georeferenced data, researchers are well
More informationComputational and Statistical Learning Theory
Coputational and Statistical Learning Theory TTIC 31120 Prof. Nati Srebro Lecture 2: PAC Learning and VC Theory I Fro Adversarial Online to Statistical Three reasons to ove fro worst-case deterinistic
More informationLower Bounds for Quantized Matrix Completion
Lower Bounds for Quantized Matrix Copletion Mary Wootters and Yaniv Plan Departent of Matheatics University of Michigan Ann Arbor, MI Eail: wootters, yplan}@uich.edu Mark A. Davenport School of Elec. &
More informationSEISMIC FRAGILITY ANALYSIS
9 th ASCE Specialty Conference on Probabilistic Mechanics and Structural Reliability PMC24 SEISMIC FRAGILITY ANALYSIS C. Kafali, Student M. ASCE Cornell University, Ithaca, NY 483 ck22@cornell.edu M. Grigoriu,
More informationVulnerability of MRD-Code-Based Universal Secure Error-Correcting Network Codes under Time-Varying Jamming Links
Vulnerability of MRD-Code-Based Universal Secure Error-Correcting Network Codes under Tie-Varying Jaing Links Jun Kurihara KDDI R&D Laboratories, Inc 2 5 Ohara, Fujiino, Saitaa, 356 8502 Japan Eail: kurihara@kddilabsjp
More informationBayesian Approach for Fatigue Life Prediction from Field Inspection
Bayesian Approach for Fatigue Life Prediction fro Field Inspection Dawn An and Jooho Choi School of Aerospace & Mechanical Engineering, Korea Aerospace University, Goyang, Seoul, Korea Srira Pattabhiraan
More informationChapter 6 1-D Continuous Groups
Chapter 6 1-D Continuous Groups Continuous groups consist of group eleents labelled by one or ore continuous variables, say a 1, a 2,, a r, where each variable has a well- defined range. This chapter explores:
More informationSharp Time Data Tradeoffs for Linear Inverse Problems
Sharp Tie Data Tradeoffs for Linear Inverse Probles Saet Oyak Benjain Recht Mahdi Soltanolkotabi January 016 Abstract In this paper we characterize sharp tie-data tradeoffs for optiization probles used
More informationThe linear sampling method and the MUSIC algorithm
INSTITUTE OF PHYSICS PUBLISHING INVERSE PROBLEMS Inverse Probles 17 (2001) 591 595 www.iop.org/journals/ip PII: S0266-5611(01)16989-3 The linear sapling ethod and the MUSIC algorith Margaret Cheney Departent
More informationIn this chapter, we consider several graph-theoretic and probabilistic models
THREE ONE GRAPH-THEORETIC AND STATISTICAL MODELS 3.1 INTRODUCTION In this chapter, we consider several graph-theoretic and probabilistic odels for a social network, which we do under different assuptions
More informationAn Approximate Model for the Theoretical Prediction of the Velocity Increase in the Intermediate Ballistics Period
An Approxiate Model for the Theoretical Prediction of the Velocity... 77 Central European Journal of Energetic Materials, 205, 2(), 77-88 ISSN 2353-843 An Approxiate Model for the Theoretical Prediction
More informationAccuracy of the Scaling Law for Experimental Natural Frequencies of Rectangular Thin Plates
The 9th Conference of Mechanical Engineering Network of Thailand 9- October 005, Phuket, Thailand Accuracy of the caling Law for Experiental Natural Frequencies of Rectangular Thin Plates Anawat Na songkhla
More informationDetermining the Robot-to-Robot Relative Pose Using Range-only Measurements
Deterining the Robot-to-Robot Relative Pose Using Range-only Measureents Xun S Zhou and Stergios I Roueliotis Abstract In this paper we address the proble of deterining the relative pose of pairs robots
More informationScattering by a Blade on a Metallic Plane
UEMG #121474 Scattering by a Blade on a Metallic Plane DANILO ERRICOLO PIERGIORGIO L. E. USLENGHI BADRIA ELNOUR FRANCESCA MIOC QUERY SHEET QY: Au: Please check all artwork throughout article for correctness.
More informationFixed-to-Variable Length Distribution Matching
Fixed-to-Variable Length Distribution Matching Rana Ali Ajad and Georg Böcherer Institute for Counications Engineering Technische Universität München, Gerany Eail: raa2463@gail.co,georg.boecherer@tu.de
More informationPolarization- Dependent Loss (PDL) Measurement Theory
Polarization- Dependent Loss PDL) Measureent heory his docuent provides a detailed suary of the theoretical basis of the 4-polarization state ethod for PDL easureent also referred to as the Mueller-tokes
More informationAn Improved Particle Filter with Applications in Ballistic Target Tracking
Sensors & ransducers Vol. 72 Issue 6 June 204 pp. 96-20 Sensors & ransducers 204 by IFSA Publishing S. L. http://www.sensorsportal.co An Iproved Particle Filter with Applications in Ballistic arget racing
More informationEstimating Parameters for a Gaussian pdf
Pattern Recognition and achine Learning Jaes L. Crowley ENSIAG 3 IS First Seester 00/0 Lesson 5 7 Noveber 00 Contents Estiating Paraeters for a Gaussian pdf Notation... The Pattern Recognition Proble...3
More informationLeast Squares Fitting of Data
Least Squares Fitting of Data David Eberly, Geoetric Tools, Redond WA 98052 https://www.geoetrictools.co/ This work is licensed under the Creative Coons Attribution 4.0 International License. To view a
More informationPrecedence Effect. Beamforming
Preceence Effect Beaforing Deo of the ranssen effect Deonstrates preceence Introuction to 3D Auio capture Directivity of icrophone. Oni-irectional Avantages are that icrophones capture all soun incluing
More informationEffective joint probabilistic data association using maximum a posteriori estimates of target states
Effective joint probabilistic data association using axiu a posteriori estiates of target states 1 Viji Paul Panakkal, 2 Rajbabu Velurugan 1 Central Research Laboratory, Bharat Electronics Ltd., Bangalore,
More informationCh 12: Variations on Backpropagation
Ch 2: Variations on Backpropagation The basic backpropagation algorith is too slow for ost practical applications. It ay take days or weeks of coputer tie. We deonstrate why the backpropagation algorith
More informationPhysics 139B Solutions to Homework Set 3 Fall 2009
Physics 139B Solutions to Hoework Set 3 Fall 009 1. Consider a particle of ass attached to a rigid assless rod of fixed length R whose other end is fixed at the origin. The rod is free to rotate about
More information3.8 Three Types of Convergence
3.8 Three Types of Convergence 3.8 Three Types of Convergence 93 Suppose that we are given a sequence functions {f k } k N on a set X and another function f on X. What does it ean for f k to converge to
More informationJ. Electrical Systems x-x (xxx): x-xx. Regular paper. Reflected Signal on a Nonuniform Overhead Transmission Line at High Frequency
A. Boudjeaa S. Tahi B. Bennaane T. B. Berbar B. Lehouidj J. Electrical Systes x-x (xxx): x-xx Regular paper Reflected Signal on a Nonunifor Overhead Transission Line at High Frequency The effect of the
More informationDevice-to-Device Collaboration through Distributed Storage
Device-to-Device Collaboration through Distributed Storage Negin Golrezaei, Student Meber, IEEE, Alexandros G Diakis, Meber, IEEE, Andreas F Molisch, Fellow, IEEE Dept of Electrical Eng University of Southern
More informationOptimal Resource Allocation in Multicast Device-to-Device Communications Underlaying LTE Networks
1 Optial Resource Allocation in Multicast Device-to-Device Counications Underlaying LTE Networks Hadi Meshgi 1, Dongei Zhao 1 and Rong Zheng 2 1 Departent of Electrical and Coputer Engineering, McMaster
More informationTesting equality of variances for multiple univariate normal populations
University of Wollongong Research Online Centre for Statistical & Survey Methodology Working Paper Series Faculty of Engineering and Inforation Sciences 0 esting equality of variances for ultiple univariate
More informationLecture 9 November 23, 2015
CSC244: Discrepancy Theory in Coputer Science Fall 25 Aleksandar Nikolov Lecture 9 Noveber 23, 25 Scribe: Nick Spooner Properties of γ 2 Recall that γ 2 (A) is defined for A R n as follows: γ 2 (A) = in{r(u)
More informationFairness via priority scheduling
Fairness via priority scheduling Veeraruna Kavitha, N Heachandra and Debayan Das IEOR, IIT Bobay, Mubai, 400076, India vavitha,nh,debayan}@iitbacin Abstract In the context of ulti-agent resource allocation
More informationData-Driven Imaging in Anisotropic Media
18 th World Conference on Non destructive Testing, 16- April 1, Durban, South Africa Data-Driven Iaging in Anisotropic Media Arno VOLKER 1 and Alan HUNTER 1 TNO Stieltjesweg 1, 6 AD, Delft, The Netherlands
More informationECE6604 PERSONAL & MOBILE COMMUNICATIONS. Week 4. Envelope Correlation Space-time Correlation
ECE6604 PERSONAL & MOBILE COMMUNICATIONS Week 4 Envelope Correlation Space-time Correlation 1 Autocorrelation of a Bandpass Random Process Consider again the received band-pass random process r(t) = g
More informationCS Lecture 13. More Maximum Likelihood
CS 6347 Lecture 13 More Maxiu Likelihood Recap Last tie: Introduction to axiu likelihood estiation MLE for Bayesian networks Optial CPTs correspond to epirical counts Today: MLE for CRFs 2 Maxiu Likelihood
More informationAn improved self-adaptive harmony search algorithm for joint replenishment problems
An iproved self-adaptive harony search algorith for joint replenishent probles Lin Wang School of Manageent, Huazhong University of Science & Technology zhoulearner@gail.co Xiaojian Zhou School of Manageent,
More informationOptimal nonlinear Bayesian experimental design: an application to amplitude versus offset experiments
Geophys. J. Int. (23) 155, 411 421 Optial nonlinear Bayesian experiental design: an application to aplitude versus offset experients Jojanneke van den Berg, 1, Andrew Curtis 2,3 and Jeannot Trapert 1 1
More informationAnalytical Model of Epidemic Routing for Delay-Tolerant Networks Qingshan Wang School of Mathematics Hefei University of Technology Hefei, China
Analytical Model of Epideic Routing for Delay-Tolerant etwors Qingshan Wang School of Matheatics Hefei University of Technology Hefei, China qswang@hfut.edu.cn Zygunt J. Haas School of Electrical and Coputer
More information13.2 Fully Polynomial Randomized Approximation Scheme for Permanent of Random 0-1 Matrices
CS71 Randoness & Coputation Spring 018 Instructor: Alistair Sinclair Lecture 13: February 7 Disclaier: These notes have not been subjected to the usual scrutiny accorded to foral publications. They ay
More information4920 IEEE TRANSACTIONS ON COMMUNICATIONS, VOL. 63, NO. 12, DECEMBER 2015
4920 IEEE TRASACTIOS O COMMUICATIOS, VOL. 63, O. 12, DECEMBER 2015 Energy Efficient Coordinated Beaforing for Multicell Syste: Duality-Based Algorith Design and Massive MIMO Transition Shiwen He, Meber,
More informationŞtefan ŞTEFĂNESCU * is the minimum global value for the function h (x)
7Applying Nelder Mead s Optiization Algorith APPLYING NELDER MEAD S OPTIMIZATION ALGORITHM FOR MULTIPLE GLOBAL MINIMA Abstract Ştefan ŞTEFĂNESCU * The iterative deterinistic optiization ethod could not
More informationInspection; structural health monitoring; reliability; Bayesian analysis; updating; decision analysis; value of information
Cite as: Straub D. (2014). Value of inforation analysis with structural reliability ethods. Structural Safety, 49: 75-86. Value of Inforation Analysis with Structural Reliability Methods Daniel Straub
More informationMATHEMATICAL MODEL OF THE ENERGETIC CONSUMPTION FOR SOIL DIGGING MACHINES IN GREENHOUSES
Bulletin of the Transilvania University of Braşov Vol. 3 (5) - 00 Series II: Forestry Wood Industry Agricultural Food Engineering MATHEMATICAL MODEL OF THE ENERGETIC CONSUMPTION FOR SOIL DIGGING MACHINES
More informationFundamental Performance Limits of TOA-based Cooperative Localization
Fundaental erforance Liits of TOA-based Cooperative Localization M icoli and D Fontanella Dip di Elettronica e Inforazione, olitecnico di Milano, iazza L da Vinci 3, I-033 Milano, Italy Abstract Knowledge
More informationOn the MIMO Channel Capacity Predicted by Kronecker and Müller Models
1 On the MIMO Channel Capacity Predicted by Kronecker and Müller Models Müge Karaman Çolakoğlu and Mehmet Şafak Abstract This paper presents a comparison between the outage capacity of MIMO channels predicted
More informationA BLOCK MONOTONE DOMAIN DECOMPOSITION ALGORITHM FOR A NONLINEAR SINGULARLY PERTURBED PARABOLIC PROBLEM
INTERNATIONAL JOURNAL OF NUMERICAL ANALYSIS AND MODELING Volue 3, Nuber 2, Pages 211 231 c 2006 Institute for Scientific Coputing and Inforation A BLOCK MONOTONE DOMAIN DECOMPOSITION ALGORITHM FOR A NONLINEAR
More informationSupplementary Material for Fast and Provable Algorithms for Spectrally Sparse Signal Reconstruction via Low-Rank Hankel Matrix Completion
Suppleentary Material for Fast and Provable Algoriths for Spectrally Sparse Signal Reconstruction via Low-Ran Hanel Matrix Copletion Jian-Feng Cai Tianing Wang Ke Wei March 1, 017 Abstract We establish
More informationTail Estimation of the Spectral Density under Fixed-Domain Asymptotics
Tail Estiation of the Spectral Density under Fixed-Doain Asyptotics Wei-Ying Wu, Chae Young Li and Yiin Xiao Wei-Ying Wu, Departent of Statistics & Probability Michigan State University, East Lansing,
More information1 Bounding the Margin
COS 511: Theoretical Machine Learning Lecturer: Rob Schapire Lecture #12 Scribe: Jian Min Si March 14, 2013 1 Bounding the Margin We are continuing the proof of a bound on the generalization error of AdaBoost
More informationUniform Approximation and Bernstein Polynomials with Coefficients in the Unit Interval
Unifor Approxiation and Bernstein Polynoials with Coefficients in the Unit Interval Weiang Qian and Marc D. Riedel Electrical and Coputer Engineering, University of Minnesota 200 Union St. S.E. Minneapolis,
More informationThe Distribution of the Covariance Matrix for a Subset of Elliptical Distributions with Extension to Two Kurtosis Parameters
journal of ultivariate analysis 58, 96106 (1996) article no. 0041 The Distribution of the Covariance Matrix for a Subset of Elliptical Distributions with Extension to Two Kurtosis Paraeters H. S. Steyn
More informationRateless Codes for MIMO Channels
Rateless Codes for MIMO Channels Marya Modir Shanechi Dept EECS, MIT Cabridge, MA Eail: shanechi@itedu Uri Erez Tel Aviv University Raat Aviv, Israel Eail: uri@engtauacil Gregory W Wornell Dept EECS, MIT
More informationResearch Article Rapidly-Converging Series Representations of a Mutual-Information Integral
International Scholarly Research Network ISRN Counications and Networking Volue 11, Article ID 5465, 6 pages doi:1.54/11/5465 Research Article Rapidly-Converging Series Representations of a Mutual-Inforation
More informationThis model assumes that the probability of a gap has size i is proportional to 1/i. i.e., i log m e. j=1. E[gap size] = i P r(i) = N f t.
CS 493: Algoriths for Massive Data Sets Feb 2, 2002 Local Models, Bloo Filter Scribe: Qin Lv Local Models In global odels, every inverted file entry is copressed with the sae odel. This work wells when
More informationAntenna Theory Exam No. 1 October 9, 2000
ntenna Theory Exa No. 1 October 9, 000 Solve the following 4 probles. Each proble is 0% of the grade. To receive full credit, you ust show all work. If you need to assue anything, state your assuptions
More informationApproximation in Stochastic Scheduling: The Power of LP-Based Priority Policies
Approxiation in Stochastic Scheduling: The Power of -Based Priority Policies Rolf Möhring, Andreas Schulz, Marc Uetz Setting (A P p stoch, r E( w and (B P p stoch E( w We will assue that the processing
More informationImpact of Imperfect Channel State Information on ARQ Schemes over Rayleigh Fading Channels
This full text paper was peer reviewed at the direction of IEEE Counications Society subject atter experts for publication in the IEEE ICC 9 proceedings Ipact of Iperfect Channel State Inforation on ARQ
More informationSpine Fin Efficiency A Three Sided Pyramidal Fin of Equilateral Triangular Cross-Sectional Area
Proceedings of the 006 WSEAS/IASME International Conference on Heat and Mass Transfer, Miai, Florida, USA, January 18-0, 006 (pp13-18) Spine Fin Efficiency A Three Sided Pyraidal Fin of Equilateral Triangular
More informationOcean 420 Physical Processes in the Ocean Project 1: Hydrostatic Balance, Advection and Diffusion Answers
Ocean 40 Physical Processes in the Ocean Project 1: Hydrostatic Balance, Advection and Diffusion Answers 1. Hydrostatic Balance a) Set all of the levels on one of the coluns to the lowest possible density.
More informationarxiv: v3 [quant-ph] 18 Oct 2017
Self-guaranteed easureent-based quantu coputation Masahito Hayashi 1,, and Michal Hajdušek, 1 Graduate School of Matheatics, Nagoya University, Furocho, Chikusa-ku, Nagoya 464-860, Japan Centre for Quantu
More informationRandomized Recovery for Boolean Compressed Sensing
Randoized Recovery for Boolean Copressed Sensing Mitra Fatei and Martin Vetterli Laboratory of Audiovisual Counication École Polytechnique Fédéral de Lausanne (EPFL) Eail: {itra.fatei, artin.vetterli}@epfl.ch
More informationComplexity reduction in low-delay Farrowstructure-based. filters utilizing linear-phase subfilters
Coplexity reduction in low-delay Farrowstructure-based variable fractional delay FIR filters utilizing linear-phase subfilters Air Eghbali and Håkan Johansson Linköping University Post Print N.B.: When
More information4196 IEEE TRANSACTIONS ON COMMUNICATIONS, VOL. 64, NO. 10, OCTOBER 2016
4196 IEEE TRANSACTIONS ON COMMUNICATIONS, VOL. 64, NO. 10, OCTOBER 2016 Linear Precoding ain for Large MIMO Configurations With QAM and Reduced Coplexity Thoas Ketseoglou, Senior Meber, IEEE, and Ender
More informationA Note on the Applied Use of MDL Approximations
A Note on the Applied Use of MDL Approxiations Daniel J. Navarro Departent of Psychology Ohio State University Abstract An applied proble is discussed in which two nested psychological odels of retention
More informationGreen Inter-Cluster Interference Management in Uplink of Multi-Cell Processing Systems
IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS 1 Green Inter-Cluster Interference Manageent in Uplink of Multi-Cell Processing Systes Efstathios Katranaras, Meber, IEEE, Muhaad Ali Iran, Senior Meber, IEEE,
More informationReading from Young & Freedman: For this topic, read the introduction to chapter 25 and sections 25.1 to 25.3 & 25.6.
PHY10 Electricity Topic 6 (Lectures 9 & 10) Electric Current and Resistance n this topic, we will cover: 1) Current in a conductor ) Resistivity 3) Resistance 4) Oh s Law 5) The Drude Model of conduction
More information