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wiley出版的数字信号处理和滤波器设计入门高清英文原版书
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hasky
时间:
2016-11-23 11:14
标题:
wiley出版的数字信号处理和滤波器设计入门高清英文原版书
数字信号处理和滤波器设计入门的经典教材，目录如下：
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Preface xi
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1 Introduction 1
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1.1 Introduction 1
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1.2 Applications of DSP 1
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1.3 Discrete-Time Signals 3
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1.3.1 Modeling and Properties of Discrete-Time Signals 8
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1.3.2 Unit Pulse Function 9
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1.3.3 Constant Sequence 10
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1.3.4 Unit Step Function 10
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1.3.5 Real Exponential Function 12
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1.3.6 Complex Exponential Function 12
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1.3.7 Properties of cos(ω0n) 14
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1.4 History of Filter Design 19
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1.5 Analog and Digital Signal Processing 23
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1.5.1 Operation of a Mobile Phone Network 25
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1.6 Summary 28
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Problems 29
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References 30
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2 Time-Domain Analysis and z Transform 32
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2.1 A Linear, Time-Invariant System 32
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2.1.1 Models of the Discrete-Time System 33
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2.1.2 Recursive Algorithm 36
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2.1.3 Convolution Sum 38
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2.2 z Transform Theory 41
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2.2.1 Definition 41
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2.2.2 Zero Input and Zero State Response 49
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2.2.3 Linearity of the System 50
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2.2.4 Time-Invariant System 50
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2.3 Using z Transform to Solve Difference Equations 51
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2.3.1 More Applications of z Transform 56
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2.3.2 Natural Response and Forced Response 58
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2.4 Solving Difference Equations Using the Classical Method 59
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2.4.1 Transient Response and Steady-State Response 63
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2.5 z Transform Method Revisited 64
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2.6 Convolution Revisited 65
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2.7 A Model from Other Models 70
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2.7.1 Review of Model Generation 72
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2.8 Stability 77
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2.8.1 Jury–Marden Test 78
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2.9 Solution Using MATLAB Functions 81
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2.10 Summary 93
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Problems 94
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References 110
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3 Frequency-Domain Analysis 112
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3.1 Introduction 112
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3.2 Theory of Sampling 113
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3.2.1 Sampling of Bandpass Signals 120
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3.3 DTFT and IDTFT 122
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3.3.1 Time-Domain Analysis of Noncausal Inputs 125
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3.3.2 Time-Shifting Property 127
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3.3.3 Frequency-Shifting Property 127
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3.3.4 Time Reversal Property 128
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3.4 DTFT of Unit Step Sequence 138
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3.4.1 Differentiation Property 139
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3.4.2 Multiplication Property 142
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3.4.3 Conjugation Property 145
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3.4.4 Symmetry Property 145
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3.5 Use of MATLAB to Compute DTFT 147
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3.6 DTFS and DFT 154
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3.6.1 Introduction 154
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3.6.2 Discrete-Time Fourier Series 156
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3.6.3 Discrete Fourier Transform 159
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3.6.4 Reconstruction of DTFT from DFT 160
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3.6.5 Properties of DTFS and DFT 161
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3.7 Fast Fourier Transform 170
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3.8 Use of MATLAB to Compute DFT and IDFT 172
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3.9 Summary 177
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Problems 178
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References 185
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4 Infinite Impulse Response Filters 186
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4.1 Introduction 186
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4.2 Magnitude Approximation of Analog Filters 189
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4.2.1 Maximally Flat and Butterworth Approximation 191
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4.2.2 Design Theory of Butterworth Lowpass Filters 194
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4.2.3 Chebyshev I Approximation 202
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4.2.4 Properties of Chebyshev Polynomials 202
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4.2.5 Design Theory of Chebyshev I Lowpass Filters 204
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4.2.6 Chebyshev II Approximation 208
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4.2.7 Design of Chebyshev II Lowpass Filters 210
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4.2.8 Elliptic Function Approximation 212
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4.3 Analog Frequency Transformations 212
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4.3.1 Highpass Filter 212
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4.3.2 Bandpass Filter 213
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4.3.3 Bandstop Filter 216
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4.4 Digital Filters 219
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4.5 Impulse-Invariant Transformation 219
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4.6 Bilinear Transformation 221
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4.7 Digital Spectral Transformation 226
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4.8 Allpass Filters 230
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4.9 IIR Filter Design Using MATLAB 231
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4.10 Yule–Walker Approximation 238
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4.11 Summary 240
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Problems 240
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References 247
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5 Finite Impulse Response Filters 249
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5.1 Introduction 249
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5.1.1 Notations 250
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5.2 Linear Phase Fir Filters 251
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5.2.1 Properties of Linear Phase FIR Filters 256
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5.3 Fourier Series Method Modified by Windows 261
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5.3.1 Gibbs Phenomenon 263
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5.3.2 Use of Window Functions 266
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5.3.3 FIR Filter Design Procedures 268
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5.4 Design of Windowed FIR Filters Using MATLAB 273
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5.4.1 Estimation of Filter Order 273
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5.4.2 Design of the FIR Filter 275
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5.5 Equiripple Linear Phase FIR Filters 280
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5.6 Design of Equiripple FIR Filters Using MATLAB 285
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5.6.1 Use of MATLAB Program to Design Equiripple FIR Filters 285
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5.7 Frequency Sampling Method 289
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5.8 Summary 292
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Problems 294
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References 301
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6 Filter Realizations 303
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6.1 Introduction 303
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6.2 FIR Filter Realizations 305
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6.2.1 Lattice Structure for FIR Filters 309
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6.2.2 Linear Phase FIR Filter Realizations 310
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6.3 IIR Filter Realizations 312
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6.4 Allpass Filters in Parallel 320
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6.4.1 Design Procedure 325
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6.4.2 Lattice–Ladder Realization 326
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6.5 Realization of FIR and IIR Filters Using MATLAB 327
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6.5.1 MATLAB Program Used to Find Allpass Filters in Parallel 334
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6.6 Summary 346
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Problems 347
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References 353
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7 Quantized Filter Analysis 354
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7.1 Introduction 354
! j" D9 p0 r* _; F& u
7.2 Filter Design–Analysis Tool 355
9 E9 ?% ?$ }8 C. U$ q2 ~# H- R& D
7.3 Quantized Filter Analysis 360
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7.4 Binary Numbers and Arithmetic 360
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7.5 Quantization Analysis of IIR Filters 367
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7.6 Quantization Analysis of FIR Filters 375
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7.7 Summary 379
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Problems 379
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References 379
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8 Hardware Design Using DSP Chips 381
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8.1 Introduction 381
7 T9 I& A" C+ O5 R
8.2 Simulink and Real-Time Workshop 381
9 N* T; Y) l, Z0 J2 H
8.3 Design Preliminaries 383
6 m5 Z2 u5 {9 F+ C
8.4 Code Generation 385
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8.5 Code Composer Studio 386
$ |0 j3 n' N, K# a" @
8.6 Simulator and Emulator 388
" z( s+ T' B7 c& H
8.6.1 Embedded Target with Real-Time Workshop 389
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8.7 Conclusion 389
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References 390
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9 MATLAB Primer 391
5 U5 s! `0 K9 z+ s- l3 a9 q
9.1 Introduction 391
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9.1.1 Vectors, Arrays, and Matrices 392
8 T/ j; K+ _4 V H% F; d. h) ~. N
9.1.2 Matrix Operations 393
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9.1.3 Scalar Operations 398
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9.1.4 Drawing Plots 400
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9.1.5 MATLAB Functions 400
6 {1 N) S$ O. b/ Y2 W. x
9.1.6 Numerical Format 401
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9.1.7 Control Flow 402
6 S" G1 s/ g5 n: ^7 f7 s2 G9 S
9.1.8 Edit Window and M-file 403
. \5 t# i+ X) n* v" L4 K
9.2 Signal Processing Toolbox 405
" X* s3 e% k, k* H# D$ U3 j
9.2.1 List of Functions in Signal Processing Toolbox 406
9 ]! n# Y6 C* w* T. _5 S
References 414
5 w2 C( L/ O- `3 u
Index 415
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数字信号处理和滤波器设计入门.rar
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