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Preface | p. xiii |
Introduction | p. 1 |
Signals | p. 2 |
Systems | p. 9 |
Analog, digital, and mixed signal processing | p. 13 |
Applications of digital signal processing | p. 16 |
Book organization | p. 18 |
Learning summary | p. 20 |
Terms and concepts | p. 20 |
Further reading | p. 21 |
Review questions | p. 21 |
Discrete-time signals and systems | p. 23 |
Discrete-time signals | p. 24 |
Signal generation and plotting in Matlab | p. 27 |
Discrete-time systems | p. 31 |
Convolution description of linear time-invariant systems | p. 37 |
Properties of linear time-invariant systems | p. 45 |
Analytical evaluation of convolution | p. 50 |
Numerical computation of convolution | p. 55 |
Red-time implementation of FTR filters | p. 57 |
FTR spatial filters | p. 59 |
Systems described by linear constant-coefficient difference equations | p. 61 |
Continuous-time LIT systems | p. 69 |
Learning summary | p. 75 |
Terms and concepts | p. 75 |
Further reading | p. 78 |
Review questions | p. 78 |
Problems | p. 79 |
The z-transform | p. 89 |
Motivation | p. 90 |
The z-transform | p. 91 |
The inverse z-transform | p. 99 |
Properties of the z-transform | p. 103 |
System function of LTI systems | p. 106 |
LTT systems characterized by linear constant-coefficient difference equations | p. 110 |
Connections between pole-zero locations and time-domain behavior | p. 114 |
The one-sided z-transform | p. 118 |
Learning summary | p. 121 |
Terms and concepts | p. 122 |
Further reading | p. 123 |
Review questions | p. 123 |
Problems | p. 124 |
Fourier representation of signals | p. 134 |
Sinusoidal signals and their properties | p. 135 |
Fourier representation of continuous-time signals | p. 142 |
Fourier representation of discrete-time signals | p. 157 |
Summary of Fourier series and Fourier transforms | p. 169 |
Properties of the discrete-time Fourier transform | p. 171 |
Learning summary | p. 188 |
Terms and concepts | p. 189 |
Further reading | p. 191 |
Review questions | p. 191 |
Problems | p. 192 |
Transform analysis of LTI systems | p. 201 |
Sinusoidal response of LTI systems | p. 202 |
Response of LTT systems in the frequency domain | p. 210 |
Distortion of signals passing through LTI systems | p. 215 |
Ideal and practical filters | p. 221 |
Frequency response for rational system functions | p. 224 |
Dependence of frequency response on poles and zeros | p. 231 |
Design of simple filters by pole-zero placement | p. 237 |
Relationship between magnitude and phase responses | p. 247 |
Allpass systems | p. 249 |
Invertibility and minimum-phase systems | p. 254 |
Transform analysis of continuous-time LTI systems | p. 258 |
Learning summary | p. 274 |
Terms and concepts | p. 275 |
Further reading | p. 276 |
Review questions | p. 277 |
Problems | p. 278 |
Sampling of continuous-time signals | p. 292 |
Ideal periodic sampling of continuous-time signals | p. 293 |
Reconstruction of a bandlimited signal from its samples | p. 297 |
The effect of undersampling: abasing | p. 300 |
Discrete-time processing of continuous-time signals | p. 311 |
Practical sampling and reconstruction | p. 318 |
Sampling of bandpass signals | p. 327 |
Image sampling and reconstruction | p. 333 |
Learning summary | p. 339 |
Terms and concepts | p. 340 |
Further reading | p. 341 |
Review questions | p. 342 |
Problems | p. 343 |
The Discrete Fourier Transform | p. 353 |
Computational Fourier analysis | p. 354 |
The Discrete Fourier Transform (DFT) | p. 357 |
Sampling the Discrete-Time Fourier Transform | p. 363 |
Properties of the Discrete Fourier Transform | p. 374 |
Linear convolution using the DFT | p. 392 |
Fourier analysis of signals using the DFT | p. 396 |
Learning summary | p. 418 |
Terms and concepts | p. 419 |
Further reading | p. 421 |
Review questions | p. 422 |
Problems | p. 423 |
Computation of the Discrete Fourier Transform | p. 434 |
Direct computation of the Discrete Fourier Transform | p. 435 |
The FFT idea using a matrix approach | p. 436 |
Decimation-in-time FFT algorithms | p. 440 |
Decimation-in-frequency FFT algorithms | p. 450 |
Generalizations and additional FFT algorithms | p. 454 |
Practical considerations | p. 456 |
Computation of DFT for special applications | p. 459 |
Learning summary | p. 470 |
Terms and concepts | p. 470 |
Further reading | p. 472 |
Review questions | p. 473 |
Problems | p. 474 |
Structures for discrete-time systems | p. 485 |
Block diagrams and signal flow graphs | p. 486 |
IIR system structures | p. 488 |
FIR system structures | p. 501 |
Lattice structures | p. 511 |
Structure conversion, simulation, and verification | p. 519 |
Learning summary | p. 522 |
Terms and concepts | p. 522 |
Further reading | p. 524 |
Review questions | p. 525 |
Problems | p. 526 |
Design of FIR filters | p. 537 |
The filter design problem | p. 538 |
FIR filters with linear phase | p. 544 |
Design of FIR filters by windowing | p. 556 |
Design of FTR filters by frequency sampling | p. 573 |
Chebyshev polynomials and minimax approximation | p. 582 |
Equiripple optimum Chebyshev FIR filter design | p. 586 |
Design of some special FTR filters | p. 601 |
Learning summary | p. 608 |
Terms and concepts | p. 608 |
Further reading | p. 610 |
Review questions | p. 610 |
Problems | p. 612 |
Design of IIR filters | p. 624 |
Introduction to IIR filter design | p. 625 |
Design of continuous-time lowpass filters | p. 627 |
Transformation of continuous-time filters to discrete-time LTR filters | p. 653 |
Design examples for lowpass IIR. filters | p. 668 |
Frequency transformations of lowpass filters | p. 673 |
Design examples of IIR filters using Matlab | p. 680 |
Learning summary | p. 687 |
Terms and concepts | p. 687 |
Further reading | p. 689 |
Review questions | p. 689 |
Problems | p. 691 |
Multirate signal processing | p. 705 |
Sampling rate conversion | p. 706 |
Implementation of multirate systems | p. 727 |
Filter design for multirate systems | p. 736' |
Two-channel filter banks | p. 746 |
Multichannel filter banks | p. 759 |
Learning summary | p. 764 |
Terms and concepts | p. 764 |
Further reading | p. 766 |
Review questions | p. 766 |
Problems | p. 768 |
Random signals | p. 777 |
Probability models and random variables | p. 778 |
Jointly distributed random variables | p. 786 |
Covariance, correlation, and linear estimation | p. 792 |
Random processes | p. 796 |
Some useful random process models | p. 809 |
Learning summary | p. 815 |
Terms and concepts | p. 816 |
Further reading | p. 818 |
Review questions | p. 818 |
Problems | p. 820 |
Random signal processing | p. 829 |
Estimation of mean, variance, and covariance | p. 830 |
Spectral analysis of stationary processes | p. 834 |
Optimum linear filters | p. 858 |
Linear prediction and all-pole signal modeling | p. 866 |
Optimum orthogonal transforms | p. 877 |
Learning summary | p. 884 |
Terms and concepts | p. 885 |
Further reading | p. 886 |
Review questions | p. 887 |
Problems | p. 888 |
Finite wordlength effects | p. 902 |
Number representation | p. 903 |
Statistical analysis of quantization error | p. 909 |
Oversampling A/D and D/A conversion | p. 919 |
Quantization of filter coefficients | p. 928 |
Effects of finite wordlength on digital filters | p. 936 |
Finite wordlength effects in FFT algorithms | p. 950 |
Learning summary | p. 952 |
Terms and concepts | p. 953 |
Further reading | p. 954 |
Review questions | p. 955 |
Problems | p. 956 |
References | p. 968 |
Index | p. 977 |
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The Used, Rental and eBook copies of this book are not guaranteed to include any supplemental materials. Typically, only the book itself is included. This is true even if the title states it includes any access cards, study guides, lab manuals, CDs, etc.