Copyright ©2010, ©1999, ©1989 by Pearson Education, Inc. All rights reserved. Discrete-Time Signal Processing, Third Edition Alan V. Oppenheim Ronald W.

Slides:



Advertisements
Similar presentations
DFT properties Note: it is important to ensure that the DFTs are the same length If x1(n) and x2(n) have different lengths, the shorter sequence must be.
Advertisements

Copyright ©2010, ©1999, ©1989 by Pearson Education, Inc. All rights reserved. Discrete-Time Signal Processing, Third Edition Alan V. Oppenheim Ronald W.
1 Discrete Hilbert Transform 7 th April 2007 Digital Signal Processing I Islamic University of Gaza.
Chapter 8: The Discrete Fourier Transform
MSP15 The Fourier Transform (cont’) Lim, MSP16 The Fourier Series Expansion Suppose g(t) is a transient function that is zero outside the interval.
Lecture #7 FREQUENCY RESPONSE OF LSI SYSTEMS Department of Electrical and Computer Engineering Carnegie Mellon University Pittsburgh, Pennsylvania.
Continuous-Time Fourier Methods
Signals and Systems Discrete Time Fourier Series.
Prepared by: Deepak Kumar Rout
The Discrete Fourier Series
Lecture 16: Introduction to Linear time-invariant filters; response of FIR filters to sinusoidal and exponential inputs: frequency response and system.
Finite Impuse Response Filters. Filters A filter is a system that processes a signal in some desired fashion. –A continuous-time signal or continuous.
Discrete-Time Fourier Series
Copyright © Shi Ping CUC Chapter 3 Discrete Fourier Transform Review Features in common We need a numerically computable transform, that is Discrete.
Discrete-Time and System (A Review)
DTFT And Fourier Transform
1 7.1 Discrete Fourier Transform (DFT) 7.2 DFT Properties 7.3 Cyclic Convolution 7.4 Linear Convolution via DFT Chapter 7 Discrete Fourier Transform Section.
1 Chapter 8 The Discrete Fourier Transform 2 Introduction  In Chapters 2 and 3 we discussed the representation of sequences and LTI systems in terms.
Copyright ©2010, ©1999, ©1989 by Pearson Education, Inc. All rights reserved. Discrete-Time Signal Processing, Third Edition Alan V. Oppenheim Ronald W.
Fourier Series Summary (From Salivahanan et al, 2002)
8.1 representation of periodic sequences:the discrete fourier series 8.2 the fourier transform of periodic signals 8.3 properties of the discrete fourier.
Copyright ©2010, ©1999, ©1989 by Pearson Education, Inc. All rights reserved. Discrete-Time Signal Processing, Third Edition Alan V. Oppenheim Ronald W.
Digital Signal Processing – Chapter 10
Finite-Length Discrete Transform
Copyright ©2010, ©1999, ©1989 by Pearson Education, Inc. All rights reserved. Discrete-Time Signal Processing, Third Edition Alan V. Oppenheim Ronald W.
Copyright © 2001, S. K. Mitra Digital Filter Structures The convolution sum description of an LTI discrete-time system be used, can in principle, to implement.
Discrete Fourier Transform Prof. Siripong Potisuk.
Copyright ©2010, ©1999, ©1989 by Pearson Education, Inc. All rights reserved. Discrete-Time Signal Processing, Third Edition Alan V. Oppenheim Ronald W.
The Discrete Fourier Transform 主講人:虞台文. Content Introduction Representation of Periodic Sequences – DFS (Discrete Fourier Series) Properties of DFS The.
Zhongguo Liu_Biomedical Engineering_Shandong Univ. Chapter 8 The Discrete Fourier Transform Zhongguo Liu Biomedical Engineering School of Control.
Hossein Sameti Department of Computer Engineering Sharif University of Technology.
Department of Computer Eng. Sharif University of Technology Discrete-time signal processing Chapter 3: THE Z-TRANSFORM Content and Figures are from Discrete-Time.
1 Lecture 1: February 20, 2007 Topic: 1. Discrete-Time Signals and Systems.
Real time DSP Professors: Eng. Julian S. Bruno Eng. Jerónimo F. Atencio Sr. Lucio Martinez Garbino.
Copyright ©2010, ©1999, ©1989 by Pearson Education, Inc. All rights reserved. Discrete-Time Signal Processing, Third Edition Alan V. Oppenheim Ronald W.
Digital Signal Processing Chapter 3 Discrete transforms.
Z TRANSFORM AND DFT Z Transform
Lecture 6: DFT XILIANG LUO 2014/10. Periodic Sequence  Discrete Fourier Series For a sequence with period N, we only need N DFS coefs.
Chapter 5 Finite-Length Discrete Transform
EEE 503 Digital Signal Processing Lecture #2 : EEE 503 Digital Signal Processing Lecture #2 : Discrete-Time Signals & Systems Dr. Panuthat Boonpramuk Department.
Digital Signal Processing
Linear filtering based on the DFT
DTFT continue (c.f. Shenoi, 2006)  We have introduced DTFT and showed some of its properties. We will investigate them in more detail by showing the associated.
Signals and Systems, 2/E by Simon Haykin and Barry Van Veen Copyright © 2003 John Wiley & Sons. Inc. All rights reserved. Figure 4.1 (p. 343) FS and FT.
Copyright ©2010, ©1999, ©1989 by Pearson Education, Inc. All rights reserved. Discrete-Time Signal Processing, Third Edition Alan V. Oppenheim Ronald W.
Copyright ©2010, ©1999, ©1989 by Pearson Education, Inc. All rights reserved. Discrete-Time Signal Processing, Third Edition Alan V. Oppenheim Ronald W.
Fourier Representation of Signals and LTI Systems.
Copyright ©2010, ©1999, ©1989 by Pearson Education, Inc. All rights reserved. Discrete-Time Signal Processing, Third Edition Alan V. Oppenheim Ronald W.
1 Fourier Representation of Signals and LTI Systems. CHAPTER 3 School of Computer and Communication Engineering, UniMAP Amir Razif B. Jamil Abdullah EKT.
Zhongguo Liu_Biomedical Engineering_Shandong Univ. Chapter 8 The Discrete Fourier Transform Zhongguo Liu Biomedical Engineering School of Control.
Generalized Linear Phase Quote of the Day The mathematical sciences particularly exhibit order, symmetry, and limitation; and these are the greatest forms.
EC1358 – DIGITAL SIGNAL PROCESSING
Finite Impuse Response Filters. Filters A filter is a system that processes a signal in some desired fashion. –A continuous-time signal or continuous.
Dr. Michael Nasief Digital Signal Processing Lec 7 1.
In summary If x[n] is a finite-length sequence (n  0 only when |n|
بسم الله الرحمن الرحيم Digital Signal Processing Lecture 14 FFT-Radix-2 Decimation in Frequency And Radix -4 Algorithm University of Khartoum Department.
بسم الله الرحمن الرحيم Lecture (12) Dr. Iman Abuel Maaly The Discrete Fourier Transform Dr. Iman Abuel Maaly University of Khartoum Department of Electrical.
الفريق الأكاديمي لجنة الهندسة الكهربائية 1 Discrete Fourier Series Given a periodic sequence with period N so that The Fourier series representation can.
1 Chapter 8 The Discrete Fourier Transform (cont.)
DSP First, 2/e Lecture 18 DFS: Discrete Fourier Series, and Windowing.
Chapter 4 Discrete-Time Signals and transform
Chapter 8. The Discrete Fourier Transform
The Discrete Fourier Transform
Chapter 8 The Discrete Fourier Transform
Sampling the Fourier Transform
APPLICATION of the DFT: Convolution of Finite Sequences.
Z TRANSFORM AND DFT Z Transform
Lecture 18 DFS: Discrete Fourier Series, and Windowing
Chapter 8 The Discrete Fourier Transform
Chapter 8 The Discrete Fourier Transform
Presentation transcript:

Copyright ©2010, ©1999, ©1989 by Pearson Education, Inc. All rights reserved. Discrete-Time Signal Processing, Third Edition Alan V. Oppenheim Ronald W. Schafer Figure 8.1 Periodic sequence with period N = 10 for which the Fourier series representation is to be computed.

Copyright ©2010, ©1999, ©1989 by Pearson Education, Inc. All rights reserved. Discrete-Time Signal Processing, Third Edition Alan V. Oppenheim Ronald W. Schafer Figure 8.2 Magnitude and phase of the Fourier series coefficients of the sequence of Figure 8.1.

Copyright ©2010, ©1999, ©1989 by Pearson Education, Inc. All rights reserved. Discrete-Time Signal Processing, Third Edition Alan V. Oppenheim Ronald W. Schafer Figure 8.3 Procedure for forming the periodic convolution of two periodic sequences.

Copyright ©2010, ©1999, ©1989 by Pearson Education, Inc. All rights reserved. Discrete-Time Signal Processing, Third Edition Alan V. Oppenheim Ronald W. Schafer Table 8.1 SUMMARY OF PROPERTIES OF THE DFS

Copyright ©2010, ©1999, ©1989 by Pearson Education, Inc. All rights reserved. Discrete-Time Signal Processing, Third Edition Alan V. Oppenheim Ronald W. Schafer Table 8.1 (continued) SUMMARY OF PROPERTIES OF THE DFS

Copyright ©2010, ©1999, ©1989 by Pearson Education, Inc. All rights reserved. Discrete-Time Signal Processing, Third Edition Alan V. Oppenheim Ronald W. Schafer Figure 8.4 Periodic sequence x[n] formed by repeating a finite-length sequence, x[n], periodically. Alternatively, x[n] = x[n] over one period and is zero otherwise. ˜ ˜

Copyright ©2010, ©1999, ©1989 by Pearson Education, Inc. All rights reserved. Discrete-Time Signal Processing, Third Edition Alan V. Oppenheim Ronald W. Schafer Figure 8.5 Magnitude and phase of the Fourier transform of one period of the sequence in Figure 8.1.

Copyright ©2010, ©1999, ©1989 by Pearson Education, Inc. All rights reserved. Discrete-Time Signal Processing, Third Edition Alan V. Oppenheim Ronald W. Schafer Figure 8.6 Overlay of Figures 8.2 and 8.5 illustrating the DFS coefficients of a periodic sequence as samples of the Fourier transform of one period.

Copyright ©2010, ©1999, ©1989 by Pearson Education, Inc. All rights reserved. Discrete-Time Signal Processing, Third Edition Alan V. Oppenheim Ronald W. Schafer Figure 8.7 Points on the unit circle at which X(z) is sampled to obtain the periodic sequence X[k ] (N = 8). ˜

Copyright ©2010, ©1999, ©1989 by Pearson Education, Inc. All rights reserved. Discrete-Time Signal Processing, Third Edition Alan V. Oppenheim Ronald W. Schafer Figure 8.8 (a) Finite-length sequence x[n]. (b) Periodic sequence x[n] corresponding to sampling the Fourier transform of x[n] with N = 12. ˜

Copyright ©2010, ©1999, ©1989 by Pearson Education, Inc. All rights reserved. Discrete-Time Signal Processing, Third Edition Alan V. Oppenheim Ronald W. Schafer Figure 8.9 Periodic sequence x[n] corresponding to sampling the Fourier transform of x[n] in Figure 8.8(a) with N = 7. ˜

Copyright ©2010, ©1999, ©1989 by Pearson Education, Inc. All rights reserved. Discrete-Time Signal Processing, Third Edition Alan V. Oppenheim Ronald W. Schafer Figure 8.10 Illustration of the DFT. (a) Finite-length sequence x[n]. (b) Periodic sequence x[n] formed from x[n] with period N = 5. (c) Fourier series coefficients X[k ] for x[n]. To emphasize that the Fourier series coefficients are samples of the Fourier transform, |X(e jω )| is also shown. (d) DFT of x[n]. ˜ ˜ ˜

Copyright ©2010, ©1999, ©1989 by Pearson Education, Inc. All rights reserved. Discrete-Time Signal Processing, Third Edition Alan V. Oppenheim Ronald W. Schafer Figure 8.11 Illustration of the DFT. (a) Finite-length sequence x[n]. (b) Periodic sequence ˜x[n] formed from x[n] with period N = 10. (c) DFT magnitude. (d) DFT phase. (x’s indicate indeterminate values.)

Copyright ©2010, ©1999, ©1989 by Pearson Education, Inc. All rights reserved. Discrete-Time Signal Processing, Third Edition Alan V. Oppenheim Ronald W. Schafer Figure 8.12 Circular shift of a finite-length sequence; i.e., the effect in the time domain of multiplying the DFT of the sequence by a linear-phase factor.

Copyright ©2010, ©1999, ©1989 by Pearson Education, Inc. All rights reserved. Discrete-Time Signal Processing, Third Edition Alan V. Oppenheim Ronald W. Schafer Figure 8.13 Illustration of duality. (a) Real finite-length sequence x[n]. (b) and (c) Real and imaginary parts of corresponding DFT X[k ]. (d) and (e) The real and imaginary parts of the dual sequence x 1 [n] = X[n]. (f) The DFT of x 1 [n].

Copyright ©2010, ©1999, ©1989 by Pearson Education, Inc. All rights reserved. Discrete-Time Signal Processing, Third Edition Alan V. Oppenheim Ronald W. Schafer Figure 8.14 Circular convolution of a finite-length sequence x 2 [n] with a single delayed impulse, x 1 [n] =  [n − 1].

Copyright ©2010, ©1999, ©1989 by Pearson Education, Inc. All rights reserved. Discrete-Time Signal Processing, Third Edition Alan V. Oppenheim Ronald W. Schafer Figure 8.15 N-point circular convolution of two constant sequences of length N.

Copyright ©2010, ©1999, ©1989 by Pearson Education, Inc. All rights reserved. Discrete-Time Signal Processing, Third Edition Alan V. Oppenheim Ronald W. Schafer Figure L-point circular convolution of two constant sequences of length L.

Copyright ©2010, ©1999, ©1989 by Pearson Education, Inc. All rights reserved. Discrete-Time Signal Processing, Third Edition Alan V. Oppenheim Ronald W. Schafer Figure 8.16 (continued) 2L-point circular convolution of two constant sequences of length L.

Copyright ©2010, ©1999, ©1989 by Pearson Education, Inc. All rights reserved. Discrete-Time Signal Processing, Third Edition Alan V. Oppenheim Ronald W. Schafer Table 8.2 SUMMARY OF PROPERTIES OF THE DFT

Copyright ©2010, ©1999, ©1989 by Pearson Education, Inc. All rights reserved. Discrete-Time Signal Processing, Third Edition Alan V. Oppenheim Ronald W. Schafer Table 8.2 (continued) SUMMARY OF PROPERTIES OF THE DFT

Copyright ©2010, ©1999, ©1989 by Pearson Education, Inc. All rights reserved. Discrete-Time Signal Processing, Third Edition Alan V. Oppenheim Ronald W. Schafer Figure 8.17 Example of linear convolution of two finite-length sequences showing that the result is such that x 3 [n] = 0 for n ≤ −1 and for n ≥ L + P − 1. (a) Finite-length sequence x 1 [m]. (b) x 2 [n − m] for several values of n.

Copyright ©2010, ©1999, ©1989 by Pearson Education, Inc. All rights reserved. Discrete-Time Signal Processing, Third Edition Alan V. Oppenheim Ronald W. Schafer Figure 8.18 Illustration that circular convolution is equivalent to linear convolution followed by aliasing. (a) The sequences x 1 [n] and x 2 [n] to be convolved. (b) The linear convolution of x 1 [n] and x 2 [n]. (c) x 3 [n − N] for N = 6. (d) x 3 [n + N] for N = 6. (e) x 1 [n] ⑥ x 2 [n], which is equal to the sum of (b), (c), and (d) in the interval 0 ≤ n ≤ 5. (f) x 1 [n] ⑫ x 2 [n].

Copyright ©2010, ©1999, ©1989 by Pearson Education, Inc. All rights reserved. Discrete-Time Signal Processing, Third Edition Alan V. Oppenheim Ronald W. Schafer Figure 8.19 An example of linear convolution of two finite-length sequences.

Copyright ©2010, ©1999, ©1989 by Pearson Education, Inc. All rights reserved. Discrete-Time Signal Processing, Third Edition Alan V. Oppenheim Ronald W. Schafer Figure 8.20 Interpretation of circular convolution as linear convolution followed by aliasing for the circular convolution of the two sequences x 1 [n] and x 2 [n] in Figure 8.19.

Copyright ©2010, ©1999, ©1989 by Pearson Education, Inc. All rights reserved. Discrete-Time Signal Processing, Third Edition Alan V. Oppenheim Ronald W. Schafer Figure 8.21 Illustration of how the result of a circular convolution “wraps around.” (a) and (b) N = L, so the aliased “tail” overlaps the first (P − 1) points. (c) and (d) N = (L + P − 1), so no overlap occurs.

Copyright ©2010, ©1999, ©1989 by Pearson Education, Inc. All rights reserved. Discrete-Time Signal Processing, Third Edition Alan V. Oppenheim Ronald W. Schafer Figure 8.22 Finite-length impulse response h[n] and indefinite-length signal x[n] to be filtered.

Copyright ©2010, ©1999, ©1989 by Pearson Education, Inc. All rights reserved. Discrete-Time Signal Processing, Third Edition Alan V. Oppenheim Ronald W. Schafer Figure 8.23 (a) Decomposition of x[n] in Figure 8.22 into nonoverlapping sections of length L. (b) Result of convolving each section with h[n].

Copyright ©2010, ©1999, ©1989 by Pearson Education, Inc. All rights reserved. Discrete-Time Signal Processing, Third Edition Alan V. Oppenheim Ronald W. Schafer Figure 8.24 (a) Decomposition of x[n] in Figure 8.22 into overlapping sections of length L. (b) Result of convolving each section with h[n]. The portions of each filtered section to be discarded in forming the linear convolution are indicated.

Copyright ©2010, ©1999, ©1989 by Pearson Education, Inc. All rights reserved. Discrete-Time Signal Processing, Third Edition Alan V. Oppenheim Ronald W. Schafer Figure 8.25 Four ways to extend a four-point sequence x[n] both periodically and symmetrically. The finite-length sequence x[n] is plotted with solid dots. (a) Type-1 periodic extension for DCT-1. (b) Type-2 periodic extension for DCT- 2. (c) Type-3 periodic extension for DCT-3. (d) Type-4 periodic extension for DCT-4.

Copyright ©2010, ©1999, ©1989 by Pearson Education, Inc. All rights reserved. Discrete-Time Signal Processing, Third Edition Alan V. Oppenheim Ronald W. Schafer Figure 8.26 DCT-1 and DCT-2 for the four-point sequence used in Figure (a) DCT-1. (b) DCT-2.

Copyright ©2010, ©1999, ©1989 by Pearson Education, Inc. All rights reserved. Discrete-Time Signal Processing, Third Edition Alan V. Oppenheim Ronald W. Schafer Figure 8.27 Test signal for comparing DFT and DCT.

Copyright ©2010, ©1999, ©1989 by Pearson Education, Inc. All rights reserved. Discrete-Time Signal Processing, Third Edition Alan V. Oppenheim Ronald W. Schafer Figure 8.28 (a) Real part of 32-point DFT; (b) Imaginary part of 32-point DFT; (c) 32-point DCT-2 of the test signal plotted in Figure 8.27.

Copyright ©2010, ©1999, ©1989 by Pearson Education, Inc. All rights reserved. Discrete-Time Signal Processing, Third Edition Alan V. Oppenheim Ronald W. Schafer Figure 8.29 Comparison of truncation errors for DFT and DCT-2.

Copyright ©2010, ©1999, ©1989 by Pearson Education, Inc. All rights reserved. Discrete-Time Signal Processing, Third Edition Alan V. Oppenheim Ronald W. Schafer Figure P8.2

Copyright ©2010, ©1999, ©1989 by Pearson Education, Inc. All rights reserved. Discrete-Time Signal Processing, Third Edition Alan V. Oppenheim Ronald W. Schafer Figure P8.3

Copyright ©2010, ©1999, ©1989 by Pearson Education, Inc. All rights reserved. Discrete-Time Signal Processing, Third Edition Alan V. Oppenheim Ronald W. Schafer Figure P8.7

Copyright ©2010, ©1999, ©1989 by Pearson Education, Inc. All rights reserved. Discrete-Time Signal Processing, Third Edition Alan V. Oppenheim Ronald W. Schafer Figure P8.10

Copyright ©2010, ©1999, ©1989 by Pearson Education, Inc. All rights reserved. Discrete-Time Signal Processing, Third Edition Alan V. Oppenheim Ronald W. Schafer Figure P8.11

Copyright ©2010, ©1999, ©1989 by Pearson Education, Inc. All rights reserved. Discrete-Time Signal Processing, Third Edition Alan V. Oppenheim Ronald W. Schafer Figure P8.13

Copyright ©2010, ©1999, ©1989 by Pearson Education, Inc. All rights reserved. Discrete-Time Signal Processing, Third Edition Alan V. Oppenheim Ronald W. Schafer Figure P8.14

Copyright ©2010, ©1999, ©1989 by Pearson Education, Inc. All rights reserved. Discrete-Time Signal Processing, Third Edition Alan V. Oppenheim Ronald W. Schafer Figure P8.15-1

Copyright ©2010, ©1999, ©1989 by Pearson Education, Inc. All rights reserved. Discrete-Time Signal Processing, Third Edition Alan V. Oppenheim Ronald W. Schafer Figure P8.15-2

Copyright ©2010, ©1999, ©1989 by Pearson Education, Inc. All rights reserved. Discrete-Time Signal Processing, Third Edition Alan V. Oppenheim Ronald W. Schafer Figure P8.16-1

Copyright ©2010, ©1999, ©1989 by Pearson Education, Inc. All rights reserved. Discrete-Time Signal Processing, Third Edition Alan V. Oppenheim Ronald W. Schafer Figure P8.16-2

Copyright ©2010, ©1999, ©1989 by Pearson Education, Inc. All rights reserved. Discrete-Time Signal Processing, Third Edition Alan V. Oppenheim Ronald W. Schafer Figure P8.17

Copyright ©2010, ©1999, ©1989 by Pearson Education, Inc. All rights reserved. Discrete-Time Signal Processing, Third Edition Alan V. Oppenheim Ronald W. Schafer Figure P8.18-1

Copyright ©2010, ©1999, ©1989 by Pearson Education, Inc. All rights reserved. Discrete-Time Signal Processing, Third Edition Alan V. Oppenheim Ronald W. Schafer Figure P8.18-2

Copyright ©2010, ©1999, ©1989 by Pearson Education, Inc. All rights reserved. Discrete-Time Signal Processing, Third Edition Alan V. Oppenheim Ronald W. Schafer Figure P8.19

Copyright ©2010, ©1999, ©1989 by Pearson Education, Inc. All rights reserved. Discrete-Time Signal Processing, Third Edition Alan V. Oppenheim Ronald W. Schafer Figure P8.20

Copyright ©2010, ©1999, ©1989 by Pearson Education, Inc. All rights reserved. Discrete-Time Signal Processing, Third Edition Alan V. Oppenheim Ronald W. Schafer Figure P8.21-1

Copyright ©2010, ©1999, ©1989 by Pearson Education, Inc. All rights reserved. Discrete-Time Signal Processing, Third Edition Alan V. Oppenheim Ronald W. Schafer Figure P8.21-2

Copyright ©2010, ©1999, ©1989 by Pearson Education, Inc. All rights reserved. Discrete-Time Signal Processing, Third Edition Alan V. Oppenheim Ronald W. Schafer Figure P8.23

Copyright ©2010, ©1999, ©1989 by Pearson Education, Inc. All rights reserved. Discrete-Time Signal Processing, Third Edition Alan V. Oppenheim Ronald W. Schafer Figure P8.24

Copyright ©2010, ©1999, ©1989 by Pearson Education, Inc. All rights reserved. Discrete-Time Signal Processing, Third Edition Alan V. Oppenheim Ronald W. Schafer Figure P8.28

Copyright ©2010, ©1999, ©1989 by Pearson Education, Inc. All rights reserved. Discrete-Time Signal Processing, Third Edition Alan V. Oppenheim Ronald W. Schafer Figure P8.35-1

Copyright ©2010, ©1999, ©1989 by Pearson Education, Inc. All rights reserved. Discrete-Time Signal Processing, Third Edition Alan V. Oppenheim Ronald W. Schafer Figure P8.35-2

Copyright ©2010, ©1999, ©1989 by Pearson Education, Inc. All rights reserved. Discrete-Time Signal Processing, Third Edition Alan V. Oppenheim Ronald W. Schafer Figure P8.39

Copyright ©2010, ©1999, ©1989 by Pearson Education, Inc. All rights reserved. Discrete-Time Signal Processing, Third Edition Alan V. Oppenheim Ronald W. Schafer Figure P8.40

Copyright ©2010, ©1999, ©1989 by Pearson Education, Inc. All rights reserved. Discrete-Time Signal Processing, Third Edition Alan V. Oppenheim Ronald W. Schafer Figure P8.41

Copyright ©2010, ©1999, ©1989 by Pearson Education, Inc. All rights reserved. Discrete-Time Signal Processing, Third Edition Alan V. Oppenheim Ronald W. Schafer Figure P8.43

Copyright ©2010, ©1999, ©1989 by Pearson Education, Inc. All rights reserved. Discrete-Time Signal Processing, Third Edition Alan V. Oppenheim Ronald W. Schafer Figure P8.44

Copyright ©2010, ©1999, ©1989 by Pearson Education, Inc. All rights reserved. Discrete-Time Signal Processing, Third Edition Alan V. Oppenheim Ronald W. Schafer Figure P8.50-1

Copyright ©2010, ©1999, ©1989 by Pearson Education, Inc. All rights reserved. Discrete-Time Signal Processing, Third Edition Alan V. Oppenheim Ronald W. Schafer Figure P8.50-2

Copyright ©2010, ©1999, ©1989 by Pearson Education, Inc. All rights reserved. Discrete-Time Signal Processing, Third Edition Alan V. Oppenheim Ronald W. Schafer Figure P8.62

Copyright ©2010, ©1999, ©1989 by Pearson Education, Inc. All rights reserved. Discrete-Time Signal Processing, Third Edition Alan V. Oppenheim Ronald W. Schafer Figure P8.69-1

Copyright ©2010, ©1999, ©1989 by Pearson Education, Inc. All rights reserved. Discrete-Time Signal Processing, Third Edition Alan V. Oppenheim Ronald W. Schafer Figure P8.69-2

Copyright ©2010, ©1999, ©1989 by Pearson Education, Inc. All rights reserved. Discrete-Time Signal Processing, Third Edition Alan V. Oppenheim Ronald W. Schafer Figure P8.70-1

Copyright ©2010, ©1999, ©1989 by Pearson Education, Inc. All rights reserved. Discrete-Time Signal Processing, Third Edition Alan V. Oppenheim Ronald W. Schafer Figure P8.70-2