ECE 6560 Chapter 2: The Resampling Process

Size: px
Start display at page:

Download "ECE 6560 Chapter 2: The Resampling Process"

Transcription

1 Capter 2: e Resaplig Process Dr. Bradley J. Bazui Wester iciga Uiversity College of Egieerig ad Applied Scieces Departet of Electrical ad Coputer Egieerig 1903 W. iciga Ave. Kalaazoo I,

2 Capter 2: e Resaplig Process s 4 s D 4 s I 2 2 s 4x dow-saplig Deciatio by 4 2x up-saplig Iterpolatio by 2 Notes ad figures are based o or take fro aterials i te course textbook: fredric j. arris, ultirate Sigal Processig for Couicatio Systes, Pretice Hall PR, ISBN

3 Uique ways to dow-saple s 4 s D 40 s 4 1 s D 41 We deciatig by, tere are uique places to start e tie-delay differece i startig locatios ust result i a pase rotatio i te frequecy doai. Notes ad figures are based o or take fro aterials i te course textbook: fredric j. arris, ultirate Sigal Processig for Couicatio Systes, Pretice Hall PR, ISBN

4 A discrete saplig sequece Defiitio s t t e tie saplig sequece ca also be described as a discrete tie saplig sequece usig a iverse discrete Fourier rasfor described as s s exp 2 j s 1, for k 0, oterwise wit k a iteger Notes ad figures are based o or take fro aterials i te course textbook: fredric j. arris, ultirate Sigal Processig for Couicatio Systes, Pretice Hall PR, ISBN

5 Aliged Saplig Note Fourier rasfor Pair: cob(t) cob(f) Notes ad figures are based o or take fro aterials i te course textbook: fredric j. arris, ultirate Sigal Processig for Couicatio Systes, Pretice Hall PR, ISBN

6 Fourier Review See Fourier rasfor Review Slides Covered prior to Capter 2 Fourier rasfor Pairs See rasfor Pairs o te Password Web Site Cotiuous tie cotiuous frequecy Fourier trasfor i f Cotiuous tie cotiuous frequecy Fourier trasfor i w Z trasfor Discrete tie cotiuous frequecy Fourier trasfor aplace trasfor Notes ad figures are based o or take fro aterials i te course textbook: fredric j. arris, ultirate Sigal Processig for Couicatio Systes, Pretice Hall PR, ISBN

7 extbook Fourier rasfor e expressio for te spectru of te sapled data ipulse respose is sow i were te sapled data frequecy variable ω s is deoted by θ wit uits of radias/saple. I tis coordiate syste, te spectru is periodic i 2 π. H exp j Note: is is te DCF versio of te Fourier rasfor (DCF eas discrete-tie cotiuous-frequecy) Notes ad figures are based o or take fro aterials i te course textbook: fredric j. arris, ultirate Sigal Processig for Couicatio Systes, Pretice Hall PR, ISBN

8 Fourier Cosideratios of Saplig Fro te text S s t t f t exp j f t dt Note: For a ifiite suatio: te results equals 0 for f x = f/f s ot a iteger. It also provides replicas i frequecy based o te saple rate! 2 f t exp j f t S 2 dt f exp j 2 f exp j f f S 2 s Notes ad figures are based o or take fro aterials i te course textbook: fredric j. arris, ultirate Sigal Processig for Couicatio Systes, Pretice Hall PR, ISBN

9 Fourier Cosideratios of resaplig te sapled sequece Fro te text S s t t f exp j 2 f S f ' s Were f = f ˑ or f = f / Regeeratig te resapled tie eleets te requires S f ' exp j is is te iverse FF your cofortable wit Notes ad figures are based o or take fro aterials i te course textbook: fredric j. arris, ultirate Sigal Processig for Couicatio Systes, Pretice Hall PR, ISBN

10 A delayed discrete saplig sequece s t r t r e tie saplig sequece ca also be described as a discrete tie saplig sequece usig a iverse discrete Fourier rasfor described as s r exp j r 2 s 1, for r k 0, oterwise wit k a iteger Notes ad figures are based o or take fro aterials i te course textbook: fredric j. arris, ultirate Sigal Processig for Couicatio Systes, Pretice Hall PR, ISBN

11 No-Aliged Saplig cob(t+) exp(-j2f) x cob(f) Covolutio i tie ultiplicatio i freq. e pase processio is based o te pase offsets fro te cotiuous Fourier trasfor! Notes ad figures are based o or take fro aterials i te course textbook: fredric j. arris, ultirate Sigal Processig for Couicatio Systes, Pretice Hall PR, ISBN

12 Sigal Notes ad figures are based o or take fro aterials i te course textbook: fredric j. arris, ultirate Sigal Processig for Couicatio Systes, Pretice Hall PR, ISBN

13 Aliged Sigal Deciatio Notes ad figures are based o or take fro aterials i te course textbook: fredric j. arris, ultirate Sigal Processig for Couicatio Systes, Pretice Hall PR, ISBN

14 No-Aliged Sigal Deciatio Iagie a twist i te frequecy axis. exp(-j2f) Notes ad figures are based o or take fro aterials i te course textbook: fredric j. arris, ultirate Sigal Processig for Couicatio Systes, Pretice Hall PR, ISBN

15 atlab Siulatio Cap2_VExaple. Filter Deciated but at te sae saple rate as te origial Filter ad agitude Plots: 2, 5, 8, 11, 14 Deciated Filter at deciated saple rate Filter ad agitude Plots: 3, 6, 9, 12, 15 Deciated Filter at deciated saple rate Pase ad Passbad oly Pase Plots: 4, 7, 10, 13, 16 Figure 30 sows tat te pases are differet based o wic saple te deciatio started o. Notes ad figures are based o or take fro aterials i te course textbook: fredric j. arris, ultirate Sigal Processig for Couicatio Systes, Pretice Hall PR, ISBN

16 atlab Siulatio Cap2_VExaplev2. Iproved to sow exact frequecy relatiosip (Fs ad Fc) sic fuctio coets i file Icorporates FIR filter costat pase delay offset Pase (degrees) Notes ad figures are based o or take fro aterials i te course textbook: fredric j. arris, ultirate Sigal Processig for Couicatio Systes, Pretice Hall PR, ISBN

17 atlab Siulatio Cap2_VExaple3. Iterpolatio by 5 exaple 0.15 H1 Deciated Filter 0 Offset Notes ad figures are based o or take fro aterials i te course textbook: fredric j. arris, ultirate Sigal Processig for Couicatio Systes, Pretice Hall PR, ISBN

18 Wat is a ultirate Filter? A eas to icrease or decrease te saple rate wile processig iput sapled sigals. Up saplig or iterpolatio 1 to P saples Dow saplig or deciatio Q to 1 saples Ratioal rate Cages 1 to P/Q saples Aliasig (dow saplig) or spectral replicatio (up saplig) cosideratios are always preset! Filters ca be used to liit or iiize probles! Notes ad figures are based o or take fro aterials i te course textbook: fredric j. arris, ultirate Sigal Processig for Couicatio Systes, Pretice Hall PR, ISBN

19 Up ad Dow Saplig Notes ad figures are based o or take fro aterials i te course textbook: fredric j. arris, ultirate Sigal Processig for Couicatio Systes, Pretice Hall PR, ISBN

20 Filter Deciatio Bad-liit usig a low pass filter Eliiate te possibility of probles fro aliasig Reduce te saple rate usig a deciator You ust pay attetio to te Nyquist rate & aliasig Notes ad figures are based o or take fro aterials i te course textbook: fredric j. arris, ultirate Sigal Processig for Couicatio Systes, Pretice Hall PR, ISBN

21 Filter Deciatio (2) ie ad Frequecy Doai Plots Notes ad figures are based o or take fro aterials i te course textbook: fredric j. arris, ultirate Sigal Processig for Couicatio Systes, Pretice Hall PR, ISBN

22 atlab Siulatio Repeat te deciatio exaple but add i a si wave were te optio is available. Notes ad figures are based o or take fro aterials i te course textbook: fredric j. arris, ultirate Sigal Processig for Couicatio Systes, Pretice Hall PR, ISBN

23 Iterpolatio Filter Iterpolate by zero paddig betwee saples ow Pass Filter to eliiate Spectral replicas A advaced alterative is to use a badpass filter ad keep oly te desired replica! is work for deciatio too! Notes ad figures are based o or take fro aterials i te course textbook: fredric j. arris, ultirate Sigal Processig for Couicatio Systes, Pretice Hall PR, ISBN

24 Iterpolatio Filterig ie ad Frequecy Doai Plots Notes ad figures are based o or take fro aterials i te course textbook: fredric j. arris, ultirate Sigal Processig for Couicatio Systes, Pretice Hall PR, ISBN

25 Iterpolatio Exaple See Cap2. Iterpolatig te sae sigal sapled at two differet rates e plots are all based o iterpretatio ad ateatics Iterpolated Cos Waves Frequecy -fs/2 to fs/ Frequecy -4*fs/2 to 4*fs/2 Notes ad figures are based o or take fro aterials i te course textbook: fredric j. arris, ultirate Sigal Processig for Couicatio Systes, Pretice Hall PR, ISBN

26 Fro te Readig Assiget Crociere, R.E.; Rabier,.R.;, "Iterpolatio ad deciatio of digital sigals A tutorial review," Proceedigs of te IEEE, vol.69, o.3, pp , arc ttp://ieeexplore.ieee.org/stap/stap.jsp?aruber= Sectios I ad II itroduce deciatio ad iterpolatio. Deciatio: te zeroig of saples betwee te desired periodic saple poits (periodic replicatio) ad te te reoval of te zeroed saples (actual deciatio ad frequecy boud cage) Iterpolatio: te iclusio of additioal zeros betwee te existig saple poits (periodic replicatio ad frequecy boud cage) Notes ad figures are based o or take fro aterials i te course textbook: fredric j. arris, ultirate Sigal Processig for Couicatio Systes, Pretice Hall PR, ISBN

27 Uifor Saplig viewed as a odulatio/ultiplicatio process Sigal x c (t) - cotiuous Sapler s(t) cob of ipulse resposes of period I te Fourier doai, odulatio/ultiplicatio requires covolutio te covolutio of a cob i frequecy wit te origial sigal spectru! Easier to visualize spectral replicatio due to saplig! Just aoter attept to elp visualize wat is goig o. Goig beyod te at is iportat. Notes ad figures are based o or take fro aterials i te course textbook: fredric j. arris, ultirate Sigal Processig for Couicatio Systes, Pretice Hall PR, ISBN

28 Properties of Resaplers: pusig blocks aroud Notes ad figures are based o or take fro aterials i te course textbook: fredric j. arris, ultirate Sigal Processig for Couicatio Systes, Pretice Hall PR, ISBN

29 Properties of Resaplers (2): pusig blocks aroud Notes ad figures are based o or take fro aterials i te course textbook: fredric j. arris, ultirate Sigal Processig for Couicatio Systes, Pretice Hall PR, ISBN

30 Properties of Resaplers (3) ese equivaleces are referred to as oble idetity ey allow operatio reorderig tat ca drastically reduce te required operatio ad/or coputatio rates! If your goig to copute te filter results ad te deciate by trowig te result away, wy coputed it i te first place? Notes ad figures are based o or take fro aterials i te course textbook: fredric j. arris, ultirate Sigal Processig for Couicatio Systes, Pretice Hall PR, ISBN

31 Properties of Resaplers (4) For relatively prie P ad Q, te followig is peritted. is is applicable for ratioal rate resaplig e typical iitial cofiguratio cosists of iterpolate (filter filter) deciate Note: if appropriate, spectral aliasig would occur! x() ust be badwidt liited! Notes ad figures are based o or take fro aterials i te course textbook: fredric j. arris, ultirate Sigal Processig for Couicatio Systes, Pretice Hall PR, ISBN

32 Exaples of Resaplig Filters Stadard Dow- Saplig Filter Arcitectures Notes ad figures are based o or take fro aterials i te course textbook: fredric j. arris, ultirate Sigal Processig for Couicatio Systes, Pretice Hall PR, ISBN

33 Exaples of Resaplig Filters (2) Stadard Up- Saplig Filter Arcitectures Notes ad figures are based o or take fro aterials i te course textbook: fredric j. arris, ultirate Sigal Processig for Couicatio Systes, Pretice Hall PR, ISBN

34 Useful Perspectives for ultirate Filters A ultirate filter is ot I (iear ie Ivariat) A ultirate filter is a iear ie-varyig (V) process e ipulse respose depeds o wic subfilter is coected to te output port we te iput ipulse is preseted to te filter. Sice te output periodically revisits eac coutator port, it is said tat te ultirate filter is a Periodically ie Varyig (PV) process. Note: tis ca ake it ard to copare iputs ad outputs! You ust kow wic output you are coparig to or you could be geeratig a output betwee iputs wic will ever perfectly atc!? Notes ad figures are based o or take fro aterials i te course textbook: fredric j. arris, ultirate Sigal Processig for Couicatio Systes, Pretice Hall PR, ISBN

35 Saple Rate Perspective A equivalet filter sapled at two differet saplig rates, 4x Badwidt ad 5x Badwidt Notice sizes Notes ad figures are based o or take fro aterials i te course textbook: fredric j. arris, ultirate Sigal Processig for Couicatio Systes, Pretice Hall PR, ISBN

36 Sie Wave Exaple Execute atlab ext Saples of ultiple frequecies (Cap2_exaple25.) Saples at ultiple rates (Cap2_exaple26.) Notes ad figures are based o or take fro aterials i te course textbook: fredric j. arris, ultirate Sigal Processig for Couicatio Systes, Pretice Hall PR, ISBN

37 Fixed ie Iterval Exaple Differet fc ceter frequecies Notes ad figures are based o or take fro aterials i te course textbook: fredric j. arris, ultirate Sigal Processig for Couicatio Systes, Pretice Hall PR, ISBN

38 Fixed Iterval, Differet Saple Rates Fixed tie iterval, fixed cotiuous tie iput sigal, ad differet saple rates. Notice aliasig i te last pae. Notes ad figures are based o or take fro aterials i te course textbook: fredric j. arris, ultirate Sigal Processig for Couicatio Systes, Pretice Hall PR, ISBN

39 Nyquist ad te Saplig Process f 2 s f AX s 1 2 f AX For realistic filter a trasitio bad is required! f s wo sided BW Filter rasitio BW f s 2 f AX Filter rasitio BW Notes ad figures are based o or take fro aterials i te course textbook: fredric j. arris, ultirate Sigal Processig for Couicatio Systes, Pretice Hall PR, ISBN

40 Spectru Saple Rate Cosideratios for real sigals Notes ad figures are based o or take fro aterials i te course textbook: fredric j. arris, ultirate Sigal Processig for Couicatio Systes, Pretice Hall PR, ISBN

41 Sigle-sided Spectru Badpass Saplig Cosideratios IF Passbad 0 db fs = ADC clock rate Filter rasitio Bad -80 db "Folded" Alias Copoet 0 fs/4 fs/2 3fs/4 fs is figure sow te previous cocept sifted by fs/4 Note tat i te spectral doai, te widts are critical but tat te absolute frequecy locatio are ot. Notes ad figures are based o or take fro aterials i te course textbook: fredric j. arris, ultirate Sigal Processig for Couicatio Systes, Pretice Hall PR, ISBN

42 Spectral Aalysis Paper Spectral Aalysis Ipleetatios: A Coparative Aalysis of te Widowed Precobier Odd-Frequecy Fourier rasfor, Widowed Dual-Real Radix-2 Fast Fourier rasfor ad No-Widowed FF Notes ad figures are based o or take fro aterials i te course textbook: fredric j. arris, ultirate Sigal Processig for Couicatio Systes, Pretice Hall PR, ISBN

43 Hoework Exaple Explai Butterwort Filter Order Geerator [N, W] = buttord(2*pi*20e3, 2*pi*24.1e3, 3, 96,'s') Notes ad figures are based o or take fro aterials i te course textbook: fredric j. arris, ultirate Sigal Processig for Couicatio Systes, Pretice Hall PR, ISBN

44 ateatical Derivatio Paper: Crociere, R.E.; Rabier,.R.;, "Iterpolatio ad deciatio of digital sigals A tutorial review," Proceedigs of te IEEE, vol.69, o.3, pp , arc extbook: R.E. Crociere ad.r. Rabier, "ultirate Digital Sigal Processig," Pretice-Hall, Ic., Eglewood Cliffs, NJ, 1983, (paperback 1996), ISBN: Cap

45 Saplig Rate Cage Origial Saple Rate at saple rate F odified saple Rate at saple rate F Assue a ratioal rate cage ( deciate, iterpolate) ' ' x x c y g x 45 Notes ad figures are based o or derived fro aterials i Crociere, R.E.; Rabier,.R.;, "Iterpolatio ad deciatio of digital sigals A tutorial review," Proceedigs of te IEEE, vol.69, o.3, pp , arc 1981.

46 e filter g () e filter is liear but tie varyig (for 1). e coefficiets fro (t) are For = 1, it will be a siple digital filter 46 g g g ~ ˆ ˆ g ~ ˆ 1 ˆ Notes ad figures are based o or derived fro aterials i Crociere, R.E.; Rabier,.R.;, "Iterpolatio ad deciatio of digital sigals A tutorial review," Proceedigs of te IEEE, vol.69, o.3, pp , arc 1981.

47 e filter g () e filter is liear but tie varyig (for 1) For = 2 (te coefficiets cage, but repeat every saples) 47 g g ~ ˆ 1 0 ~ 1 2 ~ ˆ ˆ ~ 2 ~ 2 2 ˆ ˆ g g odd eve 2, 1, 0,, r for g g r Notes ad figures are based o or derived fro aterials i Crociere, R.E.; Rabier,.R.;, "Iterpolatio ad deciatio of digital sigals A tutorial review," Proceedigs of te IEEE, vol.69, o.3, pp , arc 1981.

48 Deciatio (, =1) e ew data rate is 1/ te old data rate 48 F F ' ' ' F F g ~ ˆ 1 1 ˆ oterwise F w e H jw, 0 2 ' 2 1, ˆ x y ~ k x w k ~ w y Notes ad figures are based o or derived fro aterials i Crociere, R.E.; Rabier,.R.;, "Iterpolatio ad deciatio of digital sigals A tutorial review," Proceedigs of te IEEE, vol.69, o.3, pp , arc 1981.

49 Deciatio (, =1) (cot.) e suatio of a, spaced filter coefficiet prefilters. If te filters is a fiite legt FIR, Notes ad figures are based o or take fro aterials i te course textbook: fredric j. arris, ultirate Sigal Processig for Couicatio Systes, Pretice Hall PR, ISBN x y ~ r r r x r w y r r x r y 1 0 : 1 0 for r x r y r 1 0 y y

50 Iterpolatio (=1, ) e ew data rate is ties te old data rate 50 F F 1 ' ' ' F F oterwise F w e H jw, 0 2 ' 2, ~ k k k x k k w k y ~ ~ oterwise k k x w k 0,, 2, 0,, Notes ad figures are based o or derived fro aterials i Crociere, R.E.; Rabier,.R.;, "Iterpolatio ad deciatio of digital sigals A tutorial review," Proceedigs of te IEEE, vol.69, o.3, pp , arc 1981.

51 Iterpolatio (=1, ) (cot) Expadig te result :, r k k k r x k k r x k r y ~ ~ u g u u u g r ~ ˆ, u v v u v u r x v u v u r x v u r y ~ ~ 1 0 :, v v u k u u r x u g r y Notes ad figures are based o or derived fro aterials i Crociere, R.E.; Rabier,.R.;, "Iterpolatio ad deciatio of digital sigals A tutorial review," Proceedigs of te IEEE, vol.69, o.3, pp , arc u g k u u u g k, ˆ ˆ u u r x u r y ~ uique filters

52 For ore details Crociere, R.E.; Rabier,.R.;, "Iterpolatio ad deciatio of digital sigals A tutorial review," Proceedigs of te IEEE, vol.69, o.3, pp , arc ttp://ieeexplore.ieee.org/stap/stap.jsp?aruber= See te CR_DecAdIterp.pdf slides for te igligts. Notes ad figures are based o or take fro aterials i te course textbook: fredric j. arris, ultirate Sigal Processig for Couicatio Systes, Pretice Hall PR, ISBN

2D DSP Basics: Systems Stability, 2D Sampling

2D DSP Basics: Systems Stability, 2D Sampling - Digital Iage Processig ad Copressio D DSP Basics: Systes Stability D Saplig Stability ty Syste is stable if a bouded iput always results i a bouded output BIBO For LSI syste a sufficiet coditio for stability:

More information

Frequency Response of FIR Filters

Frequency Response of FIR Filters EEL335: Discrete-Time Sigals ad Systems. Itroductio I this set of otes, we itroduce the idea of the frequecy respose of LTI systems, ad focus specifically o the frequecy respose of FIR filters.. Steady-state

More information

Discrete-Time Systems, LTI Systems, and Discrete-Time Convolution

Discrete-Time Systems, LTI Systems, and Discrete-Time Convolution EEL5: Discrete-Time Sigals ad Systems. Itroductio I this set of otes, we begi our mathematical treatmet of discrete-time s. As show i Figure, a discrete-time operates or trasforms some iput sequece x [

More information

Chapter 9 Computation of the Discrete. Fourier Transform

Chapter 9 Computation of the Discrete. Fourier Transform Chapter 9 Coputatio of the Discrete Fourier Trasfor Itroductio Efficiet Coputatio of the Discrete Fourier Trasfor Goertzel Algorith Deciatio-I-Tie FFT Algoriths Deciatio-I-Frequecy FFT Algoriths Ipleetatio

More information

Optimal Estimator for a Sample Set with Response Error. Ed Stanek

Optimal Estimator for a Sample Set with Response Error. Ed Stanek Optial Estiator for a Saple Set wit Respose Error Ed Staek Itroductio We develop a optial estiator siilar to te FP estiator wit respose error tat was cosidered i c08ed63doc Te first 6 pages of tis docuet

More information

Ch3 Discrete Time Fourier Transform

Ch3 Discrete Time Fourier Transform Ch3 Discrete Time Fourier Trasform 3. Show that the DTFT of [] is give by ( k). e k 3. Determie the DTFT of the two sided sigal y [ ],. 3.3 Determie the DTFT of the causal sequece x[ ] A cos( 0 ) [ ],

More information

Wavelet Transform Theory. Prof. Mark Fowler Department of Electrical Engineering State University of New York at Binghamton

Wavelet Transform Theory. Prof. Mark Fowler Department of Electrical Engineering State University of New York at Binghamton Wavelet Trasfor Theory Prof. Mark Fowler Departet of Electrical Egieerig State Uiversity of New York at Bighato What is a Wavelet Trasfor? Decopositio of a sigal ito costituet parts Note that there are

More information

x[0] x[1] x[2] Figure 2.1 Graphical representation of a discrete-time signal.

x[0] x[1] x[2] Figure 2.1 Graphical representation of a discrete-time signal. x[ ] x[ ] x[] x[] x[] x[] 9 8 7 6 5 4 3 3 4 5 6 7 8 9 Figure. Graphical represetatio of a discrete-time sigal. From Discrete-Time Sigal Processig, e by Oppeheim, Schafer, ad Buck 999- Pretice Hall, Ic.

More information

Analog and Digital Signals. Introduction to Digital Signal Processing. Discrete-time Sinusoids. Analog and Digital Signals

Analog and Digital Signals. Introduction to Digital Signal Processing. Discrete-time Sinusoids. Analog and Digital Signals Itroductio to Digital Sigal Processig Chapter : Itroductio Aalog ad Digital Sigals aalog = cotiuous-time cotiuous amplitude digital = discrete-time discrete amplitude cotiuous amplitude discrete amplitude

More information

Linear time invariant systems

Linear time invariant systems Liear time ivariat systems Alejadro Ribeiro Dept. of Electrical ad Systems Egieerig Uiversity of Pesylvaia aribeiro@seas.upe.edu http://www.seas.upe.edu/users/~aribeiro/ February 25, 2016 Sigal ad Iformatio

More information

FIR Filter Design: Part II

FIR Filter Design: Part II EEL335: Discrete-Time Sigals ad Systems. Itroductio I this set of otes, we cosider how we might go about desigig FIR filters with arbitrary frequecy resposes, through compositio of multiple sigle-peak

More information

Filter banks. Separately, the lowpass and highpass filters are not invertible. removes the highest frequency 1/ 2and

Filter banks. Separately, the lowpass and highpass filters are not invertible. removes the highest frequency 1/ 2and Filter bas Separately, the lowpass ad highpass filters are ot ivertible T removes the highest frequecy / ad removes the lowest frequecy Together these filters separate the sigal ito low-frequecy ad high-frequecy

More information

Lecture 10: Bounded Linear Operators and Orthogonality in Hilbert Spaces

Lecture 10: Bounded Linear Operators and Orthogonality in Hilbert Spaces Lecture : Bouded Liear Operators ad Orthogoality i Hilbert Spaces 34 Bouded Liear Operator Let ( X, ), ( Y, ) i i be ored liear vector spaces ad { } X Y The, T is said to be bouded if a real uber c such

More information

A. Basics of Discrete Fourier Transform

A. Basics of Discrete Fourier Transform A. Basics of Discrete Fourier Trasform A.1. Defiitio of Discrete Fourier Trasform (8.5) A.2. Properties of Discrete Fourier Trasform (8.6) A.3. Spectral Aalysis of Cotiuous-Time Sigals Usig Discrete Fourier

More information

Lecture 19. Curve fitting I. 1 Introduction. 2 Fitting a constant to measured data

Lecture 19. Curve fitting I. 1 Introduction. 2 Fitting a constant to measured data Lecture 9 Curve fittig I Itroductio Suppose we are preseted with eight poits of easured data (x i, y j ). As show i Fig. o the left, we could represet the uderlyig fuctio of which these data are saples

More information

Finite-length Discrete Transforms. Chapter 5, Sections

Finite-length Discrete Transforms. Chapter 5, Sections Fiite-legth Discrete Trasforms Chapter 5, Sectios 5.2-50 5.0 Dr. Iyad djafar Outlie The Discrete Fourier Trasform (DFT) Matrix Represetatio of DFT Fiite-legth Sequeces Circular Covolutio DFT Symmetry Properties

More information

Bertrand s postulate Chapter 2

Bertrand s postulate Chapter 2 Bertrad s postulate Chapter We have see that the sequece of prie ubers, 3, 5, 7,... is ifiite. To see that the size of its gaps is ot bouded, let N := 3 5 p deote the product of all prie ubers that are

More information

Discrete-Time Signals and Systems. Discrete-Time Signals and Systems. Signal Symmetry. Elementary Discrete-Time Signals.

Discrete-Time Signals and Systems. Discrete-Time Signals and Systems. Signal Symmetry. Elementary Discrete-Time Signals. Discrete-ime Sigals ad Systems Discrete-ime Sigals ad Systems Dr. Deepa Kudur Uiversity of oroto Referece: Sectios. -.5 of Joh G. Proakis ad Dimitris G. Maolakis, Digital Sigal Processig: Priciples, Algorithms,

More information

The Hypergeometric Coupon Collection Problem and its Dual

The Hypergeometric Coupon Collection Problem and its Dual Joural of Idustrial ad Systes Egieerig Vol., o., pp -7 Sprig 7 The Hypergeoetric Coupo Collectio Proble ad its Dual Sheldo M. Ross Epstei Departet of Idustrial ad Systes Egieerig, Uiversity of Souther

More information

Introduction to Signals and Systems, Part V: Lecture Summary

Introduction to Signals and Systems, Part V: Lecture Summary EEL33: Discrete-Time Sigals ad Systems Itroductio to Sigals ad Systems, Part V: Lecture Summary Itroductio to Sigals ad Systems, Part V: Lecture Summary So far we have oly looked at examples of o-recursive

More information

Signal Processing in Mechatronics. Lecture 3, Convolution, Fourier Series and Fourier Transform

Signal Processing in Mechatronics. Lecture 3, Convolution, Fourier Series and Fourier Transform Sigal Processig i Mechatroics Summer semester, 1 Lecture 3, Covolutio, Fourier Series ad Fourier rasform Dr. Zhu K.P. AIS, UM 1 1. Covolutio Covolutio Descriptio of LI Systems he mai premise is that the

More information

ELEG 4603/5173L Digital Signal Processing Ch. 1 Discrete-Time Signals and Systems

ELEG 4603/5173L Digital Signal Processing Ch. 1 Discrete-Time Signals and Systems Departmet of Electrical Egieerig Uiversity of Arasas ELEG 4603/5173L Digital Sigal Processig Ch. 1 Discrete-Time Sigals ad Systems Dr. Jigxia Wu wuj@uar.edu OUTLINE 2 Classificatios of discrete-time sigals

More information

ECE 901 Lecture 4: Estimation of Lipschitz smooth functions

ECE 901 Lecture 4: Estimation of Lipschitz smooth functions ECE 9 Lecture 4: Estiatio of Lipschitz sooth fuctios R. Nowak 5/7/29 Cosider the followig settig. Let Y f (X) + W, where X is a rado variable (r.v.) o X [, ], W is a r.v. o Y R, idepedet of X ad satisfyig

More information

ADVANCED DIGITAL SIGNAL PROCESSING

ADVANCED DIGITAL SIGNAL PROCESSING ADVANCED DIGITAL SIGNAL PROCESSING PROF. S. C. CHAN (email : sccha@eee.hku.hk, Rm. CYC-702) DISCRETE-TIME SIGNALS AND SYSTEMS MULTI-DIMENSIONAL SIGNALS AND SYSTEMS RANDOM PROCESSES AND APPLICATIONS ADAPTIVE

More information

MASSACHUSETTS INSTITUTE OF TECHNOLOGY Department of Electrical Engineering and Computer Science. BACKGROUND EXAM September 30, 2004.

MASSACHUSETTS INSTITUTE OF TECHNOLOGY Department of Electrical Engineering and Computer Science. BACKGROUND EXAM September 30, 2004. MASSACHUSETTS INSTITUTE OF TECHNOLOGY Departmet of Electrical Egieerig ad Computer Sciece 6.34 Discrete Time Sigal Processig Fall 24 BACKGROUND EXAM September 3, 24. Full Name: Note: This exam is closed

More information

Mathematical Description of Discrete-Time Signals. 9/10/16 M. J. Roberts - All Rights Reserved 1

Mathematical Description of Discrete-Time Signals. 9/10/16 M. J. Roberts - All Rights Reserved 1 Mathematical Descriptio of Discrete-Time Sigals 9/10/16 M. J. Roberts - All Rights Reserved 1 Samplig ad Discrete Time Samplig is the acquisitio of the values of a cotiuous-time sigal at discrete poits

More information

Uncertainty Principle of Mathematics

Uncertainty Principle of Mathematics Septeber 27 Ucertaity Priciple of Matheatics Shachter Mourici Israel, Holo ourici@walla.co.il Preface This short paper prove that atheatically, Reality is ot real. This short paper is ot about Heiseberg's

More information

Chapter 2. Asymptotic Notation

Chapter 2. Asymptotic Notation Asyptotic Notatio 3 Chapter Asyptotic Notatio Goal : To siplify the aalysis of ruig tie by gettig rid of details which ay be affected by specific ipleetatio ad hardware. [1] The Big Oh (O-Notatio) : It

More information

10/ Statistical Machine Learning Homework #1 Solutions

10/ Statistical Machine Learning Homework #1 Solutions Caregie Mello Uiversity Departet of Statistics & Data Sciece 0/36-70 Statistical Macie Learig Hoework # Solutios Proble [40 pts.] DUE: February, 08 Let X,..., X P were X i [0, ] ad P as desity p. Let p

More information

1.3 Convergence Theorems of Fourier Series. k k k k. N N k 1. With this in mind, we state (without proof) the convergence of Fourier series.

1.3 Convergence Theorems of Fourier Series. k k k k. N N k 1. With this in mind, we state (without proof) the convergence of Fourier series. .3 Covergece Theorems of Fourier Series I this sectio, we preset the covergece of Fourier series. A ifiite sum is, by defiitio, a limit of partial sums, that is, a cos( kx) b si( kx) lim a cos( kx) b si(

More information

Web Appendix O - Derivations of the Properties of the z Transform

Web Appendix O - Derivations of the Properties of the z Transform M. J. Roberts - 2/18/07 Web Appedix O - Derivatios of the Properties of the z Trasform O.1 Liearity Let z = x + y where ad are costats. The ( z)= ( x + y )z = x z + y z ad the liearity property is O.2

More information

M2.The Z-Transform and its Properties

M2.The Z-Transform and its Properties M2.The Z-Trasform ad its Properties Readig Material: Page 94-126 of chapter 3 3/22/2011 I. Discrete-Time Sigals ad Systems 1 What did we talk about i MM1? MM1 - Discrete-Time Sigal ad System 3/22/2011

More information

Evaluation of Bessel Functions Using a Computer Program

Evaluation of Bessel Functions Using a Computer Program Evaluatio of Bessel Fuctios Usig a Coputer Progra P. S. Yeh, Ph.D. Abstract I cylidrical coordiate, there are two types of Bessel fuctios. These fuctios are the Bessel fuctio ad the odified Bessel fuctio.

More information

ECE 6560 Multirate Signal Processing Chapter 6

ECE 6560 Multirate Signal Processing Chapter 6 ECE 656 ultiate Sigal Pocessig Capte 6 D. Badle J. Baui Weste iciga Uivesit College of Egieeig ad Applied Scieces Depatet of Electical ad Copute Egieeig 93 W. iciga Ave. Kalaaoo I, 498-539 Capte 6: Polpase

More information

Discrete-Time Signals and Systems. Signals and Systems. Digital Signals. Discrete-Time Signals. Operations on Sequences: Basic Operations

Discrete-Time Signals and Systems. Signals and Systems. Digital Signals. Discrete-Time Signals. Operations on Sequences: Basic Operations -6.3 Digital Sigal Processig ad Filterig..8 Discrete-ime Sigals ad Systems ime-domai Represetatios of Discrete-ime Sigals ad Systems ime-domai represetatio of a discrete-time sigal as a sequece of umbers

More information

DIGITAL SIGNAL PROCESSING LECTURE 3

DIGITAL SIGNAL PROCESSING LECTURE 3 DIGITAL SIGNAL PROCESSING LECTURE 3 Fall 2 2K8-5 th Semester Tahir Muhammad tmuhammad_7@yahoo.com Cotet ad Figures are from Discrete-Time Sigal Processig, 2e by Oppeheim, Shafer, ad Buc, 999-2 Pretice

More information

Spring 2014, EE123 Digital Signal Processing

Spring 2014, EE123 Digital Signal Processing Aoucemets EE3 Digital Sigal Processig Last time: FF oday: Frequecy aalysis with DF Widowig Effect of zero-paddig Lecture 9 based o slides by J.M. Kah Spectral Aalysis with the DF Spectral Aalysis with

More information

Wavelets and Multiresolution. Processing. Multiresolution analysis. New basis functions called wavelets. Good old Fourier transform

Wavelets and Multiresolution. Processing. Multiresolution analysis. New basis functions called wavelets. Good old Fourier transform Digital Image Processig d ed. www.imageprocessigboo.com Wavelets ad Multiresolutio Processig Preview ood old Fourier trasform A trasform were te basis fuctios are siusoids ece localied i frequecy but ot

More information

Summer MA Lesson 13 Section 1.6, Section 1.7 (part 1)

Summer MA Lesson 13 Section 1.6, Section 1.7 (part 1) Suer MA 1500 Lesso 1 Sectio 1.6, Sectio 1.7 (part 1) I Solvig Polyoial Equatios Liear equatio ad quadratic equatios of 1 variable are specific types of polyoial equatios. Soe polyoial equatios of a higher

More information

The starting phase of each symbol is determined by past bits. This memory can improve detection by giving additional hints about past symbol values.

The starting phase of each symbol is determined by past bits. This memory can improve detection by giving additional hints about past symbol values. 8.2 Start With CPFSK 8.2-1 8.2.1 CPFSK Sigals Three pictures of the same CPFSK sigal: istataeous frequecy istataeous phase trajectory Trajectory is a circle with radius A = P. CPFSK moves at a steady speed

More information

Digital Image Processing ECE 533. Solutions to Assignment 4

Digital Image Processing ECE 533. Solutions to Assignment 4 Digital Iage Processig ECE 533 Solutios to Assiget 4 Departet of Electrical ad Coputig Egieerig, Uiversity of New Mexico. Professor Majeed Hayat, hayat@ece.u.edu March 26, 2007 Frequecy Doai Desig 1. To

More information

Discrete population models

Discrete population models Discrete populatio odels D. Gurarie Ratioal: cclic (seasoal) tiig of reproductio ad developet, schroizatio Topics:. Reewal odels (Fiboacci). Discrete logistic odels (Verhulst vs. Ricker); cobwebs; equilibria,

More information

Note that the argument inside the second square root is always positive since R L > Z 0. The series reactance can be found as

Note that the argument inside the second square root is always positive since R L > Z 0. The series reactance can be found as Ipedace Matchig Ipedace Matchig Itroductio Ipedace atchig is the process to atch the load to a trasissio lie by a atchig etwork, as depicted i Fig Recall that the reflectios are eliiated uder the atched

More information

Olli Simula T / Chapter 1 3. Olli Simula T / Chapter 1 5

Olli Simula T / Chapter 1 3. Olli Simula T / Chapter 1 5 Sigals ad Systems Sigals ad Systems Sigals are variables that carry iformatio Systemstake sigals as iputs ad produce sigals as outputs The course deals with the passage of sigals through systems T-6.4

More information

University of Washington Department of Chemistry Chemistry 453 Winter Quarter 2015

University of Washington Department of Chemistry Chemistry 453 Winter Quarter 2015 Uiversity of Wasigto Departmet of Cemistry Cemistry 453 Witer Quarter 15 Lecture 14. /11/15 Recommeded Text Readig: Atkis DePaula: 9.1, 9., 9.3 A. Te Equipartitio Priciple & Eergy Quatizatio Te Equipartio

More information

Binomial transform of products

Binomial transform of products Jauary 02 207 Bioial trasfor of products Khristo N Boyadzhiev Departet of Matheatics ad Statistics Ohio Norther Uiversity Ada OH 4580 USA -boyadzhiev@ouedu Abstract Give the bioial trasfors { b } ad {

More information

ECE 308 Discrete-Time Signals and Systems

ECE 308 Discrete-Time Signals and Systems ECE 38-5 ECE 38 Discrete-Time Sigals ad Systems Z. Aliyazicioglu Electrical ad Computer Egieerig Departmet Cal Poly Pomoa ECE 38-5 1 Additio, Multiplicatio, ad Scalig of Sequeces Amplitude Scalig: (A Costat

More information

Block-by Block Convolution, FFT/IFFT, Digital Spectral Analysis

Block-by Block Convolution, FFT/IFFT, Digital Spectral Analysis Lecture 9 Outlie: Block-by Block Covolutio, FFT/IFFT, Digital Spectral Aalysis Aoucemets: Readig: 5: The Discrete Fourier Trasform pp. 3-5, 8, 9+block diagram at top of pg, pp. 7. HW 6 due today with free

More information

Practical Spectral Anaysis (continue) (from Boaz Porat s book) Frequency Measurement

Practical Spectral Anaysis (continue) (from Boaz Porat s book) Frequency Measurement Practical Spectral Aaysis (cotiue) (from Boaz Porat s book) Frequecy Measuremet Oe of the most importat applicatios of the DFT is the measuremet of frequecies of periodic sigals (eg., siusoidal sigals),

More information

2D DSP Basics: 2D Systems

2D DSP Basics: 2D Systems - Digital Image Processig ad Compressio D DSP Basics: D Systems D Systems T[ ] y = T [ ] Liearity Additivity: If T y = T [ ] The + T y = y + y Homogeeity: If The T y = T [ ] a T y = ay = at [ ] Liearity

More information

EECE 301 Signals & Systems

EECE 301 Signals & Systems EECE 301 Sigals & Systems Prof. Mark Fowler Note Set #8 D-T Covolutio: The Tool for Fidig the Zero-State Respose Readig Assigmet: Sectio 2.1-2.2 of Kame ad Heck 1/14 Course Flow Diagram The arrows here

More information

Formula List for College Algebra Sullivan 10 th ed. DO NOT WRITE ON THIS COPY.

Formula List for College Algebra Sullivan 10 th ed. DO NOT WRITE ON THIS COPY. Forula List for College Algera Sulliva 10 th ed. DO NOT WRITE ON THIS COPY. Itercepts: Lear how to fid the x ad y itercepts. Syetry: Lear how test for syetry with respect to the x-axis, y-axis ad origi.

More information

EE / EEE SAMPLE STUDY MATERIAL. GATE, IES & PSUs Signal System. Electrical Engineering. Postal Correspondence Course

EE / EEE SAMPLE STUDY MATERIAL. GATE, IES & PSUs Signal System. Electrical Engineering. Postal Correspondence Course Sigal-EE Postal Correspodece Course 1 SAMPLE STUDY MATERIAL Electrical Egieerig EE / EEE Postal Correspodece Course GATE, IES & PSUs Sigal System Sigal-EE Postal Correspodece Course CONTENTS 1. SIGNAL

More information

Lecture 20 - Wave Propagation Response

Lecture 20 - Wave Propagation Response .09/.093 Fiite Eleet Aalysis of Solids & Fluids I Fall 09 Lecture 0 - Wave Propagatio Respose Prof. K. J. Bathe MIT OpeCourseWare Quiz #: Closed book, 6 pages of otes, o calculators. Covers all aterials

More information

Chapter 10 Advanced Topics in Random Processes

Chapter 10 Advanced Topics in Random Processes ery Stark ad Joh W. Woods, Probability, Statistics, ad Radom Variables for Egieers, 4th ed., Pearso Educatio Ic.,. ISBN 978--3-33-6 Chapter Advaced opics i Radom Processes Sectios. Mea-Square (m.s.) Calculus

More information

Solutions. Number of Problems: 4. None. Use only the prepared sheets for your solutions. Additional paper is available from the supervisors.

Solutions. Number of Problems: 4. None. Use only the prepared sheets for your solutions. Additional paper is available from the supervisors. Quiz November 4th, 23 Sigals & Systems (5-575-) P. Reist & Prof. R. D Adrea Solutios Exam Duratio: 4 miutes Number of Problems: 4 Permitted aids: Noe. Use oly the prepared sheets for your solutios. Additioal

More information

International Journal of Multidisciplinary Research and Modern Education (IJMRME) ISSN (Online): (www.rdmodernresearch.

International Journal of Multidisciplinary Research and Modern Education (IJMRME) ISSN (Online): (www.rdmodernresearch. (wwwrdoderresearchco) Volue II, Issue II, 2016 PRODUC OPERAION ON FUZZY RANSIION MARICES V Chiadurai*, S Barkavi**, S Vayabalaji*** & J Parthiba**** * Departet of Matheatics, Aaalai Uiversity, Aaalai Nagar,

More information

(s)h(s) = K( s + 8 ) = 5 and one finite zero is located at z 1

(s)h(s) = K( s + 8 ) = 5 and one finite zero is located at z 1 ROOT LOCUS TECHNIQUE 93 should be desiged differetly to eet differet specificatios depedig o its area of applicatio. We have observed i Sectio 6.4 of Chapter 6, how the variatio of a sigle paraeter like

More information

ME 501A Seminar in Engineering Analysis Page 1

ME 501A Seminar in Engineering Analysis Page 1 Accurac, Stabilit ad Sstems of Equatios November 0, 07 Numerical Solutios of Ordiar Differetial Equatios Accurac, Stabilit ad Sstems of Equatios Larr Caretto Mecaical Egieerig 0AB Semiar i Egieerig Aalsis

More information

Morphological Image Processing

Morphological Image Processing Morphological Image Processig Biary dilatio ad erosio Set-theoretic iterpretatio Opeig, closig, morphological edge detectors Hit-miss filter Morphological filters for gray-level images Cascadig dilatios

More information

Orthogonal Functions

Orthogonal Functions Royal Holloway Uiversity of odo Departet of Physics Orthogoal Fuctios Motivatio Aalogy with vectors You are probably failiar with the cocept of orthogoality fro vectors; two vectors are orthogoal whe they

More information

Polynomial Functions and Their Graphs

Polynomial Functions and Their Graphs Polyomial Fuctios ad Their Graphs I this sectio we begi the study of fuctios defied by polyomial expressios. Polyomial ad ratioal fuctios are the most commo fuctios used to model data, ad are used extesively

More information

Reliability Equivalence Analysis of a Parallel-Series System Subject to Degradation Facility

Reliability Equivalence Analysis of a Parallel-Series System Subject to Degradation Facility Sciece Joural of Applied Mateatics ad Statistics 5; 3(3): 6-64 Publised olie Jue 6 5 (ttp://www.sciecepublisiggroup.co/j/sjas) doi:.648/j.sjas.533.9 ISSN: 376-949 (Prit); ISSN: 376-953 (Olie) Reliability

More information

Chapter 7 z-transform

Chapter 7 z-transform Chapter 7 -Trasform Itroductio Trasform Uilateral Trasform Properties Uilateral Trasform Iversio of Uilateral Trasform Determiig the Frequecy Respose from Poles ad Zeros Itroductio Role i Discrete-Time

More information

Infinite Sequences and Series

Infinite Sequences and Series Chapter 6 Ifiite Sequeces ad Series 6.1 Ifiite Sequeces 6.1.1 Elemetary Cocepts Simply speakig, a sequece is a ordered list of umbers writte: {a 1, a 2, a 3,...a, a +1,...} where the elemets a i represet

More information

Signals & Systems Chapter3

Signals & Systems Chapter3 Sigals & Systems Chapter3 1.2 Discrete-Time (D-T) Sigals Electroic systems do most of the processig of a sigal usig a computer. A computer ca t directly process a C-T sigal but istead eeds a stream of

More information

ELEG3503 Introduction to Digital Signal Processing

ELEG3503 Introduction to Digital Signal Processing ELEG3503 Itroductio to Digital Sigal Processig 1 Itroductio 2 Basics of Sigals ad Systems 3 Fourier aalysis 4 Samplig 5 Liear time-ivariat (LTI) systems 6 z-trasform 7 System Aalysis 8 System Realizatio

More information

Computer. x c (t) x[n] y[n] y c (t) A-to-D Computer D-to-A. i A sequence of numbers i Mathematical representation:

Computer. x c (t) x[n] y[n] y c (t) A-to-D Computer D-to-A. i A sequence of numbers i Mathematical representation: Digital Speech Processig Lecture Review of DSP Fudaetals Iput Sigal Aalog-to- Digital Coversio What is DSP? Coputer Digital-to- Aalog Coversio Output Sigal Digital ethod to represet a quatity, a pheoeo

More information

Statistics and Data Analysis in MATLAB Kendrick Kay, February 28, Lecture 4: Model fitting

Statistics and Data Analysis in MATLAB Kendrick Kay, February 28, Lecture 4: Model fitting Statistics ad Data Aalysis i MATLAB Kedrick Kay, kedrick.kay@wustl.edu February 28, 2014 Lecture 4: Model fittig 1. The basics - Suppose that we have a set of data ad suppose that we have selected the

More information

Warped, Chirp Z-Transform: Radar Signal Processing

Warped, Chirp Z-Transform: Radar Signal Processing arped, Chirp Z-Trasform: Radar Sigal Processig by Garimella Ramamurthy Report o: IIIT/TR// Cetre for Commuicatios Iteratioal Istitute of Iformatio Techology Hyderabad - 5 3, IDIA Jauary ARPED, CHIRP Z

More information

Complex Analysis Spring 2001 Homework I Solution

Complex Analysis Spring 2001 Homework I Solution Complex Aalysis Sprig 2001 Homework I Solutio 1. Coway, Chapter 1, sectio 3, problem 3. Describe the set of poits satisfyig the equatio z a z + a = 2c, where c > 0 ad a R. To begi, we see from the triagle

More information

distinct distinct n k n k n! n n k k n 1 if k n, identical identical p j (k) p 0 if k > n n (k)

distinct distinct n k n k n! n n k k n 1 if k n, identical identical p j (k) p 0 if k > n n (k) THE TWELVEFOLD WAY FOLLOWING GIAN-CARLO ROTA How ay ways ca we distribute objects to recipiets? Equivaletly, we wat to euerate equivalece classes of fuctios f : X Y where X = ad Y = The fuctios are subject

More information

Wavelet Transform and its relation to multirate filter banks

Wavelet Transform and its relation to multirate filter banks Wavelet Trasform ad its relatio to multirate filter bas Christia Walliger ASP Semiar th Jue 007 Graz Uiversity of Techology, Austria Professor Georg Holzma, Horst Cerja, Christia 9..005 Walliger.06.07

More information

X. Perturbation Theory

X. Perturbation Theory X. Perturbatio Theory I perturbatio theory, oe deals with a ailtoia that is coposed Ĥ that is typically exactly solvable of two pieces: a referece part ad a perturbatio ( Ĥ ) that is assued to be sall.

More information

A Pseudo Spline Methods for Solving an Initial Value Problem of Ordinary Differential Equation

A Pseudo Spline Methods for Solving an Initial Value Problem of Ordinary Differential Equation Joural of Matematics ad Statistics 4 (: 7-, 008 ISSN 549-3644 008 Sciece Publicatios A Pseudo Splie Metods for Solvig a Iitial Value Problem of Ordiary Differetial Equatio B.S. Ogudare ad G.E. Okeca Departmet

More information

MAT1026 Calculus II Basic Convergence Tests for Series

MAT1026 Calculus II Basic Convergence Tests for Series MAT026 Calculus II Basic Covergece Tests for Series Egi MERMUT 202.03.08 Dokuz Eylül Uiversity Faculty of Sciece Departmet of Mathematics İzmir/TURKEY Cotets Mootoe Covergece Theorem 2 2 Series of Real

More information

Mixture models (cont d)

Mixture models (cont d) 6.867 Machie learig, lecture 5 (Jaakkola) Lecture topics: Differet types of ixture odels (cot d) Estiatig ixtures: the EM algorith Mixture odels (cot d) Basic ixture odel Mixture odels try to capture ad

More information

AVERAGE MARKS SCALING

AVERAGE MARKS SCALING TERTIARY INSTITUTIONS SERVICE CENTRE Level 1, 100 Royal Street East Perth, Wester Australia 6004 Telephoe (08) 9318 8000 Facsiile (08) 95 7050 http://wwwtisceduau/ 1 Itroductio AVERAGE MARKS SCALING I

More information

Signals and Systems. Problem Set: From Continuous-Time to Discrete-Time

Signals and Systems. Problem Set: From Continuous-Time to Discrete-Time Sigals ad Systems Problem Set: From Cotiuous-Time to Discrete-Time Updated: October 5, 2017 Problem Set Problem 1 - Liearity ad Time-Ivariace Cosider the followig systems ad determie whether liearity ad

More information

The z-transform. 7.1 Introduction. 7.2 The z-transform Derivation of the z-transform: x[n] = z n LTI system, h[n] z = re j

The z-transform. 7.1 Introduction. 7.2 The z-transform Derivation of the z-transform: x[n] = z n LTI system, h[n] z = re j The -Trasform 7. Itroductio Geeralie the complex siusoidal represetatio offered by DTFT to a represetatio of complex expoetial sigals. Obtai more geeral characteristics for discrete-time LTI systems. 7.

More information

Math 4707 Spring 2018 (Darij Grinberg): midterm 2 page 1. Math 4707 Spring 2018 (Darij Grinberg): midterm 2 with solutions [preliminary version]

Math 4707 Spring 2018 (Darij Grinberg): midterm 2 page 1. Math 4707 Spring 2018 (Darij Grinberg): midterm 2 with solutions [preliminary version] Math 4707 Sprig 08 Darij Griberg: idter page Math 4707 Sprig 08 Darij Griberg: idter with solutios [preliiary versio] Cotets 0.. Coutig first-eve tuples......................... 3 0.. Coutig legal paths

More information

arxiv: v1 [cs.ds] 23 Nov 2012

arxiv: v1 [cs.ds] 23 Nov 2012 Aalysis of a radoized approxiatio schee for atrix ultiplicatio Daiel Hsu 1, Sha M. Kakade 1, ad Tog Zhag 2 arxiv:1211.5414v1 cs.ds] 23 Nov 2012 1 Microsoft Research, New Eglad 2 Departet of Statistics,

More information

Written exam Digital Signal Processing for BMT (8E070). Tuesday November 1, 2011, 09:00 12:00.

Written exam Digital Signal Processing for BMT (8E070). Tuesday November 1, 2011, 09:00 12:00. Techische Uiversiteit Eidhove Fac. Biomedical Egieerig Writte exam Digital Sigal Processig for BMT (8E070). Tuesday November, 0, 09:00 :00. (oe page) ( problems) Problem. s Cosider a aalog filter with

More information

1.2 AXIOMATIC APPROACH TO PROBABILITY AND PROPERTIES OF PROBABILITY MEASURE 1.2 AXIOMATIC APPROACH TO PROBABILITY AND

1.2 AXIOMATIC APPROACH TO PROBABILITY AND PROPERTIES OF PROBABILITY MEASURE 1.2 AXIOMATIC APPROACH TO PROBABILITY AND NTEL- robability ad Distributios MODULE 1 ROBABILITY LECTURE 2 Topics 1.2 AXIOMATIC AROACH TO ROBABILITY AND ROERTIES OF ROBABILITY MEASURE 1.2.1 Iclusio-Exclusio Forula I the followig sectio we will discuss

More information

Integrals of Functions of Several Variables

Integrals of Functions of Several Variables Itegrals of Fuctios of Several Variables We ofte resort to itegratios i order to deterie the exact value I of soe quatity which we are uable to evaluate by perforig a fiite uber of additio or ultiplicatio

More information

6.003 Homework #3 Solutions

6.003 Homework #3 Solutions 6.00 Homework # Solutios Problems. Complex umbers a. Evaluate the real ad imagiary parts of j j. π/ Real part = Imagiary part = 0 e Euler s formula says that j = e jπ/, so jπ/ j π/ j j = e = e. Thus the

More information

Frequency Domain Filtering

Frequency Domain Filtering Frequecy Domai Filterig Raga Rodrigo October 19, 2010 Outlie Cotets 1 Itroductio 1 2 Fourier Represetatio of Fiite-Duratio Sequeces: The Discrete Fourier Trasform 1 3 The 2-D Discrete Fourier Trasform

More information

ECE-S352 Introduction to Digital Signal Processing Lecture 3A Direct Solution of Difference Equations

ECE-S352 Introduction to Digital Signal Processing Lecture 3A Direct Solution of Difference Equations ECE-S352 Itroductio to Digital Sigal Processig Lecture 3A Direct Solutio of Differece Equatios Discrete Time Systems Described by Differece Equatios Uit impulse (sample) respose h() of a DT system allows

More information

Sequences A sequence of numbers is a function whose domain is the positive integers. We can see that the sequence

Sequences A sequence of numbers is a function whose domain is the positive integers. We can see that the sequence Sequeces A sequece of umbers is a fuctio whose domai is the positive itegers. We ca see that the sequece 1, 1, 2, 2, 3, 3,... is a fuctio from the positive itegers whe we write the first sequece elemet

More information

Digital Signal Processing, Fall 2006

Digital Signal Processing, Fall 2006 Digital Sigal Procssig, Fall 6 Lctur 9: Th Discrt Fourir Trasfor Zhg-Hua Ta Dpartt of Elctroic Systs Aalborg Uivrsity, Dar zt@o.aau.d Digital Sigal Procssig, I, Zhg-Hua Ta, 6 Cours at a glac MM Discrt-ti

More information

Acoustic Field inside a Rigid Cylinder with a Point Source

Acoustic Field inside a Rigid Cylinder with a Point Source Acoustic Field iside a Rigid Cylider with a Poit Source 1 Itroductio The ai objectives of this Deo Model are to Deostrate the ability of Coustyx to odel a rigid cylider with a poit source usig Coustyx

More information

Review of Discrete-time Signals. ELEC 635 Prof. Siripong Potisuk

Review of Discrete-time Signals. ELEC 635 Prof. Siripong Potisuk Review of Discrete-time Sigals ELEC 635 Prof. Siripog Potisuk 1 Discrete-time Sigals Discrete-time, cotiuous-valued amplitude (sampled-data sigal) Discrete-time, discrete-valued amplitude (digital sigal)

More information

6.003 Homework #12 Solutions

6.003 Homework #12 Solutions 6.003 Homework # Solutios Problems. Which are rue? For each of the D sigals x [] through x 4 [] below), determie whether the coditios listed i the followig table are satisfied, ad aswer for true or F for

More information

Acoustic Echo Cancellation Overview. Tianzhu Qiao

Acoustic Echo Cancellation Overview. Tianzhu Qiao Acoustic Eco Cacellatio Overview iazu Qiao be.qiao@gail.co 9-7- . Overview I acoustic trasissio sste, tere are two iportat parts: te speaker ad te icropoe. If te speaker ad te icropoe are totall separated,

More information

Spectral Analysis. This week in lab. Next classes: 3/26 and 3/28. Your next experiment Homework is to prepare

Spectral Analysis. This week in lab. Next classes: 3/26 and 3/28. Your next experiment Homework is to prepare Spectral Aalysis This week i lab Your ext experimet Homework is to prepare Next classes: 3/26 ad 3/28 Aero Testig, Fracture Toughess Testig Read the Experimets 5 ad 7 sectios of the course maual Spectral

More information

6/2/2011. Filtering in the Frequency Domain. Image Processing. Filtering in the Frequency Domain. The Big Idea. Jean Baptiste Joseph Fourier

6/2/2011. Filtering in the Frequency Domain. Image Processing. Filtering in the Frequency Domain. The Big Idea. Jean Baptiste Joseph Fourier Iage Processig Filterig i the Frequecy Doai Christophoros ikou cikou@cs.uoi.gr Filterig i the Frequecy Doai Filter: A device or aterial for suppressig or iiizig waves or oscillatios of certai frequecies.

More information

Chapter 2 Systems and Signals

Chapter 2 Systems and Signals Chapter 2 Systems ad Sigals 1 Itroductio Discrete-Time Sigals: Sequeces Discrete-Time Systems Properties of Liear Time-Ivariat Systems Liear Costat-Coefficiet Differece Equatios Frequecy-Domai Represetatio

More information

5.6 Binomial Multi-section Matching Transformer

5.6 Binomial Multi-section Matching Transformer 4/14/21 5_6 Bioial Multisectio Matchig Trasforers 1/1 5.6 Bioial Multi-sectio Matchig Trasforer Readig Assiget: pp. 246-25 Oe way to axiize badwidth is to costruct a ultisectio Γ f that is axially flat.

More information

Digital Signal Processing

Digital Signal Processing Digital Sigal Processig Z-trasform dftwave -Trasform Backgroud-Defiitio - Fourier trasform j ω j ω e x e extracts the essece of x but is limited i the sese that it ca hadle stable systems oly. jω e coverges

More information

COMP 2804 Solutions Assignment 1

COMP 2804 Solutions Assignment 1 COMP 2804 Solutios Assiget 1 Questio 1: O the first page of your assiget, write your ae ad studet uber Solutio: Nae: Jaes Bod Studet uber: 007 Questio 2: I Tic-Tac-Toe, we are give a 3 3 grid, cosistig

More information