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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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发表于 2016-11-23 11:14 | 只看该作者 回帖奖励 |倒序浏览 |阅读模式

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数字信号处理和滤波器设计入门的经典教材,目录如下:8 \+ u) l: Z' c4 U# {( X
Preface xi9 j5 t( n% ~" ^- p8 K: R
1 Introduction 1
, n% Q  g) k0 ]6 h1.1 Introduction 1
- d  u2 _. E5 f1 X7 U' }1.2 Applications of DSP 19 {/ P6 H, T1 L+ P9 v) {
1.3 Discrete-Time Signals 30 O  \  v, T, U7 p7 b6 q6 p7 e' g+ F
1.3.1 Modeling and Properties of Discrete-Time Signals 8+ {0 i8 K4 q0 A& _5 f. T
1.3.2 Unit Pulse Function 90 ]/ @- H/ O7 a' v  D) }7 U/ @
1.3.3 Constant Sequence 10
; @6 v8 F% p2 A- F1 D' v# L1.3.4 Unit Step Function 10
/ }$ [/ ]$ F! X: O# R* \1.3.5 Real Exponential Function 12
* _4 w' i) K3 |1.3.6 Complex Exponential Function 12
' r1 v3 m+ U; T8 Z& g; a1.3.7 Properties of cos(ω0n) 14
" N& `. |: c0 Y1.4 History of Filter Design 19
$ e' A5 M) S: v# Y0 I1.5 Analog and Digital Signal Processing 23) I* G9 l" Z3 T) A% a. s" J
1.5.1 Operation of a Mobile Phone Network 25( J, W, q3 U/ s, h
1.6 Summary 28/ ]3 i0 Y0 c% w8 e8 s
Problems 29* L; }" G# M+ N+ C+ i/ _* b5 n4 A
References 30
, F& _* n! K, Z  L/ {: @9 K9 S2 Time-Domain Analysis and z Transform 32, j9 t+ x, u& X. B% o
2.1 A Linear, Time-Invariant System 32. V- W/ d' X; t" ?  n- p
2.1.1 Models of the Discrete-Time System 33+ V' Y7 o) {! }* z$ F* v
2.1.2 Recursive Algorithm 367 m; O6 [9 U- z$ v, Z  X9 l; ~8 h
2.1.3 Convolution Sum 38
6 x: _4 X+ S  {! T2.2 z Transform Theory 41- b' W3 X9 R0 F4 O( j% x5 `% n
2.2.1 Definition 41
, N' F7 b" _. A& M5 N; C8 |7 ^0 z7 W2.2.2 Zero Input and Zero State Response 49
4 f( @! x1 k. z% n% V: h5 C: {2.2.3 Linearity of the System 505 M. v; ?* L, p2 {: d$ Q
2.2.4 Time-Invariant System 506 A9 X5 E# W  h- x! H
2.3 Using z Transform to Solve Difference Equations 51
  ~4 ?1 s3 `1 V3 Q. G# t2.3.1 More Applications of z Transform 56" q0 }( \& U# f4 Z8 @; m  ]
2.3.2 Natural Response and Forced Response 584 i7 h8 l- {) n+ O2 H9 r% P, ~
2.4 Solving Difference Equations Using the Classical Method 59
& h2 ?  T: @' [6 u0 M' y- B3 ^2.4.1 Transient Response and Steady-State Response 630 V! N7 _: F% k6 D& w
2.5 z Transform Method Revisited 64
; ?  y$ B5 q3 o) L; n2.6 Convolution Revisited 65
* E, H/ P7 g1 J5 `) R: o2.7 A Model from Other Models 70" r  r5 d8 v) q" L; ^
2.7.1 Review of Model Generation 72* u' U4 S2 i6 Z2 T& Y5 r0 a
2.8 Stability 77
# z: c+ K+ N) Q' C2 u8 `2.8.1 Jury–Marden Test 78
, u- Z. Z$ c+ L2.9 Solution Using MATLAB Functions 81
0 J3 U9 v" r1 j2 n4 H2.10 Summary 93; \. ^. v; W, }
Problems 94* i/ o0 o5 I% a: z
References 110. ]8 \0 S( g% N% {
3 Frequency-Domain Analysis 112
* s; z' p5 Y! ~& p% O& u3 V$ ]3.1 Introduction 1124 k% ^) [; Z$ l6 y
3.2 Theory of Sampling 113% ~! X# J( m4 L: W( d: \4 }
3.2.1 Sampling of Bandpass Signals 120
4 k8 y; [, ~+ Z6 o$ t0 U) b3.3 DTFT and IDTFT 122
. _+ e6 b( a( f8 F# ?3.3.1 Time-Domain Analysis of Noncausal Inputs 125
! t0 `$ U1 X" z# J% {. J3.3.2 Time-Shifting Property 1273 r; }3 p# Z/ q' K
3.3.3 Frequency-Shifting Property 127
& ]! |. h& b) v  Q2 r3.3.4 Time Reversal Property 128; k7 Z: \& z" \: u& g" _% W7 ], o
3.4 DTFT of Unit Step Sequence 138* V6 D+ y: }3 L( N1 o; y% s4 v
3.4.1 Differentiation Property 139. {' A0 Q: ?, S( e7 v2 K9 ?
3.4.2 Multiplication Property 142
/ u$ B0 G' }9 p7 O# o' V% W3.4.3 Conjugation Property 145
& K* I+ ?- T" b/ d: D3.4.4 Symmetry Property 145
; ]5 X3 Z. A7 s1 ^/ L3.5 Use of MATLAB to Compute DTFT 147
4 y; W4 W5 O) |# r3.6 DTFS and DFT 154
0 H! ]7 ?$ P2 Y' E& f$ s3.6.1 Introduction 154  G2 C3 }0 E/ F& a! N
3.6.2 Discrete-Time Fourier Series 156
( A0 }. A4 o3 l5 w3.6.3 Discrete Fourier Transform 159
# k+ Z. f& D3 o3 Q! Q- U/ S. a! x. c3.6.4 Reconstruction of DTFT from DFT 1604 U6 G* W9 v. l* l0 y
3.6.5 Properties of DTFS and DFT 161
1 Y& a$ Q) F4 h( Q2 a  Z* f3.7 Fast Fourier Transform 1708 |$ q1 j3 {2 N9 j
3.8 Use of MATLAB to Compute DFT and IDFT 172' L! F9 E1 A3 X! @$ z
3.9 Summary 177: m, X4 D. L3 |7 F. D
Problems 178
4 r4 L. ~6 w: r. GReferences 185
  o, }8 j6 a7 u' x; t" v6 Y4 Infinite Impulse Response Filters 1867 [! |. e5 c' J8 j: i/ l$ q
4.1 Introduction 186
8 p0 D# k! G  M- Q0 c7 n3 ~0 M4.2 Magnitude Approximation of Analog Filters 189" U! J" z2 c5 h' I
4.2.1 Maximally Flat and Butterworth Approximation 191# R# \) a' B  W3 t
4.2.2 Design Theory of Butterworth Lowpass Filters 194. i% E8 p$ }$ r
4.2.3 Chebyshev I Approximation 202
4 U* z: Z' O& }& y, P4 f$ B7 K4.2.4 Properties of Chebyshev Polynomials 202! |) p- V  A% v* K
4.2.5 Design Theory of Chebyshev I Lowpass Filters 204/ U4 y& k' P8 g1 v
4.2.6 Chebyshev II Approximation 208. L( K. q7 o; J" Y, }' L# k$ {0 a
4.2.7 Design of Chebyshev II Lowpass Filters 210' u3 r% n+ p5 l, H6 u6 S
4.2.8 Elliptic Function Approximation 212
- p8 ~9 J# q( O/ U& g  `7 E4.3 Analog Frequency Transformations 212
) a1 T. j* d$ o1 J1 l4.3.1 Highpass Filter 212
2 M3 Q% U3 f  v$ J. C4.3.2 Bandpass Filter 213
2 S6 p( x* q9 z& {' i4.3.3 Bandstop Filter 216/ w9 r2 _1 d+ u, A
4.4 Digital Filters 219
/ R, j* D7 a& Q; p1 u6 \4.5 Impulse-Invariant Transformation 219+ L! }, l0 b  d3 N5 @8 F8 v
4.6 Bilinear Transformation 221+ I" W7 J0 ]7 F& {3 \4 t
4.7 Digital Spectral Transformation 226; Q5 b  J. W2 m* c2 @8 y$ k
4.8 Allpass Filters 2302 \6 V+ ], M5 O) W
4.9 IIR Filter Design Using MATLAB 231
5 d6 d$ r. K! s+ B! Q4.10 Yule–Walker Approximation 238
8 c! S/ x4 P5 n! M. d! E: ~6 E2 u4.11 Summary 240. H4 V3 ~" Q1 V! Q! H3 m6 z
Problems 240
: t2 \) E  D: G3 Q8 PReferences 247+ q2 k6 Z" I- R/ ?# y- r
5 Finite Impulse Response Filters 249
7 k( J6 w1 G$ A  m+ C) B3 ?. l# \5.1 Introduction 249
& Y3 Z8 G- |- r. c, K6 N$ ~' x5.1.1 Notations 250
0 x# n+ t/ R, _4 O8 C* j5.2 Linear Phase Fir Filters 251, q1 B- _) h9 i9 K
5.2.1 Properties of Linear Phase FIR Filters 2563 d6 ^- Q1 d: a1 s& k
5.3 Fourier Series Method Modified by Windows 261# H4 y( y9 E4 |2 P' }2 K
5.3.1 Gibbs Phenomenon 263
9 k8 G3 s) J1 |# J; P- g5.3.2 Use of Window Functions 266
4 Y' O4 r) p4 g6 _6 |/ ~! ~5.3.3 FIR Filter Design Procedures 268
# y1 q" ?8 J- k2 W. v, d$ e/ z5.4 Design of Windowed FIR Filters Using MATLAB 273
" ?! _+ O' d% `( ~' |5.4.1 Estimation of Filter Order 273
( H. T9 ^. {" e  H1 V7 H0 e* c; T5.4.2 Design of the FIR Filter 275
3 W" @% P3 s$ u3 D7 Q3 n( n5.5 Equiripple Linear Phase FIR Filters 280
, s4 |. B- a& r9 b5.6 Design of Equiripple FIR Filters Using MATLAB 285# ~- T8 S- R% ^& L& r
5.6.1 Use of MATLAB Program to Design Equiripple FIR Filters 285
) P- j5 z6 {/ B% ]5.7 Frequency Sampling Method 289
$ c' P3 ]7 G; ^2 j# e* F% w! v5.8 Summary 292; C- [% o: w$ v3 a
Problems 294
2 ?- M0 |* g0 r8 L3 hReferences 301
2 l7 O" q: P3 k! p! a' C) ~6 Filter Realizations 3038 v7 K5 O9 T( g8 \+ P
6.1 Introduction 303
* X2 l1 c; O$ D$ S6.2 FIR Filter Realizations 305
: d: U/ e' a3 g1 y/ S& a" q6.2.1 Lattice Structure for FIR Filters 309: A. B# R+ a6 a+ q5 o$ q
6.2.2 Linear Phase FIR Filter Realizations 310
! M5 m# Z% A& l6.3 IIR Filter Realizations 312  X3 y. o: {/ ]. e/ A) w% D
6.4 Allpass Filters in Parallel 320& O* T( N9 U% m7 o3 f  w
6.4.1 Design Procedure 325
, G% M/ ^$ R- X& N7 Y6.4.2 Lattice–Ladder Realization 326
7 B9 W2 D; m% `3 ^' {) t6.5 Realization of FIR and IIR Filters Using MATLAB 3276 U- j8 D  D- c% T
6.5.1 MATLAB Program Used to Find Allpass Filters in Parallel 334
7 W5 o& l' o0 F1 S+ ]4 i/ J& c6.6 Summary 3460 i# Y0 j* G1 i5 o
Problems 347
) S# i% d3 s( q! r; n8 g) sReferences 353
3 D6 z) m! N1 B" N. o& w7 Quantized Filter Analysis 354
; u0 N4 {0 s% \  t7.1 Introduction 354
, |$ ~1 G+ ^$ E; d7.2 Filter Design–Analysis Tool 355
* ?$ ?3 C/ T) z( j" a7.3 Quantized Filter Analysis 360
/ T; R( Y9 N- O4 \% z3 V9 \7.4 Binary Numbers and Arithmetic 360* U. x, p, D5 \
7.5 Quantization Analysis of IIR Filters 367
4 X- n# t) {/ R5 i# M5 ?7.6 Quantization Analysis of FIR Filters 375
& e- u: \0 w: F" G/ v. Q8 T5 W6 x& q7.7 Summary 379/ _0 ]: Z7 w) N( O: H# F, r# k* J
Problems 379
/ N1 d% z+ B$ h7 LReferences 379
2 _( }) E: r, l' a4 y2 b! o  e8 Hardware Design Using DSP Chips 381
6 P/ f, ]2 M. u8.1 Introduction 381
' ~: N# z$ Q/ E4 X, T8.2 Simulink and Real-Time Workshop 381
$ J) I1 M9 s* `/ u; ^4 R& N5 _8.3 Design Preliminaries 383
; ?( m4 v( o% E5 `+ ~1 k8.4 Code Generation 3856 t# G/ ~0 _8 z& y4 p$ y
8.5 Code Composer Studio 386
5 P& I: s( @& T  u2 Y6 q% q8 q8.6 Simulator and Emulator 388
: t- c6 W. P3 v7 o5 P8.6.1 Embedded Target with Real-Time Workshop 389; X4 B' Z- i6 F  z% U( t6 {! a
8.7 Conclusion 389( U, R/ L# T* ~6 f4 b8 e: _
References 390
9 i* U8 ?2 t; }* ?4 X9 MATLAB Primer 391
1 v( Y8 s$ |; n/ A4 f6 ?. F  k9.1 Introduction 391
: Z$ J5 d; K6 d7 F% ^0 _2 n7 p7 @9.1.1 Vectors, Arrays, and Matrices 392
: s+ @5 G0 D) d# J$ l+ |: C9.1.2 Matrix Operations 393* V: O- N7 v/ R( t) t
9.1.3 Scalar Operations 398
' u" Q7 I& \8 D2 `: g" b* r" H9.1.4 Drawing Plots 400
! N) z' c6 {" E" z- q2 |9.1.5 MATLAB Functions 400% K6 q8 c6 b4 D  U7 w' ]& m
9.1.6 Numerical Format 401
" {* ^/ j" Y; U) ~9.1.7 Control Flow 4022 f9 K6 T3 |' X' e3 k
9.1.8 Edit Window and M-file 403, H2 C$ I7 k3 ~! L" l
9.2 Signal Processing Toolbox 405
! r5 _; p4 m8 j: b: {5 u% V9.2.1 List of Functions in Signal Processing Toolbox 406* t' g9 m2 A" E( w/ C; _9 f% b% u8 g
References 414: k8 T2 j, s( N
Index 4155 Q% M, ^& n6 `& F# v8 B

数字信号处理和滤波器设计入门.rar

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