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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:
5 v  U* {6 e  A5 h% aPreface xi- M; Z5 v9 p9 _8 {$ S
1 Introduction 1
+ L- a/ u( U# o3 a& m1.1 Introduction 1
! \8 A# ^7 K# d3 W& }1.2 Applications of DSP 1
1 @: @7 q; P+ z. p5 c1 T1 s1.3 Discrete-Time Signals 36 M, Y( T7 _' j7 w, U% g3 x# l
1.3.1 Modeling and Properties of Discrete-Time Signals 8
. N" M5 k+ J$ x, c; L' y1 w' I1.3.2 Unit Pulse Function 9
" t1 k3 G: h1 K% n/ l" B) T3 T1.3.3 Constant Sequence 10# c& q2 x, J( o' W8 l
1.3.4 Unit Step Function 10
5 f, S# I3 g- ~6 z' V  h1.3.5 Real Exponential Function 122 _. v* P. T5 {; V7 V. s1 c* M' T! u
1.3.6 Complex Exponential Function 12! ^6 u9 M1 j8 Q( d& H
1.3.7 Properties of cos(ω0n) 14
) m. u- M$ a3 b3 \* s1.4 History of Filter Design 19. X2 j, E  X+ m7 U
1.5 Analog and Digital Signal Processing 235 L% i0 o; A4 F3 `
1.5.1 Operation of a Mobile Phone Network 25. c8 p( t- O& u: N( n8 N& d
1.6 Summary 28( T/ ^  {. e& p7 R
Problems 29
& y  g$ D( C( RReferences 30, x$ Y' H* C% I( ^% R) F, C% R
2 Time-Domain Analysis and z Transform 32- @1 I+ C  B+ u1 R
2.1 A Linear, Time-Invariant System 32
  k) R. R; [3 u7 `6 {2.1.1 Models of the Discrete-Time System 336 F, Q' d4 r* Q. P. z) l6 }) S  T
2.1.2 Recursive Algorithm 36' Z5 {! S# y1 q8 e# N) w
2.1.3 Convolution Sum 38
. Z2 c  k; m, g' ^: Q$ ]' M' w6 h2.2 z Transform Theory 41. `8 l& z9 U  O7 e& V) o
2.2.1 Definition 41
5 u& X( M5 G9 m0 g8 ~8 `; v, X- m) {2.2.2 Zero Input and Zero State Response 49
0 }& A6 d! h5 `) E. Y& o2.2.3 Linearity of the System 50
- _& p  z; b* C% j& A" ?0 y% d3 N1 q2.2.4 Time-Invariant System 50% Y+ Z4 S+ Y# S  y! Z! K
2.3 Using z Transform to Solve Difference Equations 51- f5 S% s+ o3 R; |% R3 d% ?2 t
2.3.1 More Applications of z Transform 56! L* h3 R( }0 K* \1 p- o% n
2.3.2 Natural Response and Forced Response 58
3 d& `2 j, e" S% Y8 G$ r0 d2.4 Solving Difference Equations Using the Classical Method 59
$ a) |5 y+ n6 ]; r  h2.4.1 Transient Response and Steady-State Response 63
4 a5 Q+ D8 k& E% Z% O2.5 z Transform Method Revisited 64+ \1 A5 k$ ]! B$ n: F# I% I
2.6 Convolution Revisited 65% ^! d8 m0 d, S$ i' Q" Q" |+ m2 A1 {
2.7 A Model from Other Models 705 z( Z! ~- N$ O& [
2.7.1 Review of Model Generation 72
7 s% T! C( w) i: F7 w2.8 Stability 77  i/ X6 s5 V$ N; K$ a
2.8.1 Jury–Marden Test 78
/ r/ z5 ~0 N1 k2.9 Solution Using MATLAB Functions 812 h% S+ ^2 `2 o# S& U( A/ Z6 W
2.10 Summary 93: n% x/ B* T3 S9 p! _1 ^
Problems 94% S7 B8 u3 p% Z% H/ f8 J7 n
References 110# }5 t. M: X. y; }$ J
3 Frequency-Domain Analysis 112
6 |0 p: m* u9 t0 a* I7 ?3.1 Introduction 112- b" X# e/ d3 o8 i3 N5 V( P3 C2 O
3.2 Theory of Sampling 1133 R. Y/ _3 a3 B
3.2.1 Sampling of Bandpass Signals 120
& j& y$ D/ Y+ v, M& N; Q# N) j3.3 DTFT and IDTFT 122# Z6 D1 D; x- l. R
3.3.1 Time-Domain Analysis of Noncausal Inputs 1253 p' \  v7 ^* G+ i6 X
3.3.2 Time-Shifting Property 1276 E( }  n+ A5 e
3.3.3 Frequency-Shifting Property 127
$ M1 u2 w% w# b# v6 z3.3.4 Time Reversal Property 128
! h' `. O# {3 |3.4 DTFT of Unit Step Sequence 1385 y" r! q' l+ M4 |8 a1 a. @$ g
3.4.1 Differentiation Property 139
, C* p6 s4 A8 K% h7 Q3.4.2 Multiplication Property 142
% m$ y, \* M3 @3 n# U& e6 Z* H3.4.3 Conjugation Property 145  ?) ]7 ?0 T- C8 S0 Z
3.4.4 Symmetry Property 145
- @! S1 g( H' H. {! `3.5 Use of MATLAB to Compute DTFT 147
6 P& L5 i0 o9 p* ]% \6 o2 p6 F( Y3.6 DTFS and DFT 154
$ z2 |# f6 g# N: J# H. {: B2 V3.6.1 Introduction 154: F6 c* m6 T" {$ q' V7 g4 z1 Y
3.6.2 Discrete-Time Fourier Series 156! `1 j6 A9 y; i7 S1 H4 O7 p
3.6.3 Discrete Fourier Transform 159
2 \. P( @& g# s% V4 O: B3.6.4 Reconstruction of DTFT from DFT 160
7 X* j( c& c  f" `7 V3.6.5 Properties of DTFS and DFT 161! X( {# G. P+ \- @7 v
3.7 Fast Fourier Transform 170
0 g7 |# `. B8 _6 |3.8 Use of MATLAB to Compute DFT and IDFT 172
- X& n) k6 M) k0 E0 G- g3.9 Summary 177/ m* _$ `3 Z8 y4 x$ t; z
Problems 1786 k2 Y, n8 _2 c/ E0 W5 o& Y* X
References 185- z# h" v  \- {  o, k$ f) E4 J5 }6 F
4 Infinite Impulse Response Filters 186
- }: J( D. m0 [4.1 Introduction 186
& ]8 ^" E; i( L/ l6 ?4.2 Magnitude Approximation of Analog Filters 189- S9 t' k. J0 F6 x
4.2.1 Maximally Flat and Butterworth Approximation 191
1 |: x1 U+ ]% ^. N4.2.2 Design Theory of Butterworth Lowpass Filters 194
1 s6 A. l+ o7 P$ a( ~" }4.2.3 Chebyshev I Approximation 202! y( H3 D+ ?% X$ g5 j% j
4.2.4 Properties of Chebyshev Polynomials 2027 k  y+ O' H4 c! n  G
4.2.5 Design Theory of Chebyshev I Lowpass Filters 204
. t2 \' z$ x( G4.2.6 Chebyshev II Approximation 2081 v( b# S+ }* ?5 a5 Y
4.2.7 Design of Chebyshev II Lowpass Filters 2100 a+ O% G+ a# [2 U5 K0 o
4.2.8 Elliptic Function Approximation 212. z9 l9 ?4 z; D5 a5 v- S. {7 `+ b  i8 ~
4.3 Analog Frequency Transformations 212
. s1 f$ ^+ `! P  ~4.3.1 Highpass Filter 212
& a* [: ~, \# F% e5 x4.3.2 Bandpass Filter 213. h% R; y) f% @0 W# x( A
4.3.3 Bandstop Filter 216
+ O5 b4 t' h7 B" S- A) a* ]6 D4.4 Digital Filters 219# M: o. @" V# l0 z6 o1 {5 a
4.5 Impulse-Invariant Transformation 219' ]8 k9 `" G! G4 J, X# _2 ?9 d
4.6 Bilinear Transformation 221
9 }# V5 S1 u& H$ Z; P4.7 Digital Spectral Transformation 2260 l+ h6 S5 `, \3 a. e6 l: U0 {+ ^
4.8 Allpass Filters 2308 n' X& j$ C/ ]
4.9 IIR Filter Design Using MATLAB 231
% C  l# |' B# A" I! K' A! q( V& {4.10 Yule–Walker Approximation 238
4 U. @$ h4 C, ~  N) G) u; z1 m4.11 Summary 240( m4 y1 v+ c& J& W
Problems 240
( Z$ |3 r' ~. KReferences 247& V! z6 X# X. C0 ]* r
5 Finite Impulse Response Filters 249
+ `8 h' X8 u, A2 }# n: m5 I5.1 Introduction 249. S0 j8 R* [2 x9 a. O5 ]
5.1.1 Notations 250
& n) Q" ]! N% a$ Z/ j- O1 x5.2 Linear Phase Fir Filters 2517 P' v/ e& B1 r) B
5.2.1 Properties of Linear Phase FIR Filters 256
1 l# d. o6 I! @5.3 Fourier Series Method Modified by Windows 2615 H, O* T) K* O4 q
5.3.1 Gibbs Phenomenon 2631 W" T' k4 d$ V
5.3.2 Use of Window Functions 266% ?% m/ l8 L2 I  d) z! r' N4 }
5.3.3 FIR Filter Design Procedures 2681 R% a* p9 ?. q+ r4 C1 G
5.4 Design of Windowed FIR Filters Using MATLAB 273
& v$ P$ H3 B9 _- u5.4.1 Estimation of Filter Order 273
  H) [! r0 Z1 l$ h4 n2 q& x+ _5.4.2 Design of the FIR Filter 275
$ ]1 C0 R6 q' o5.5 Equiripple Linear Phase FIR Filters 280
! x+ v5 k5 G$ K+ [5.6 Design of Equiripple FIR Filters Using MATLAB 285+ z; \) ^0 w. \/ Z- f4 b5 n1 B% U$ L3 X6 A
5.6.1 Use of MATLAB Program to Design Equiripple FIR Filters 285  y. G- z: \# u
5.7 Frequency Sampling Method 289
2 ^. q' v2 c+ a5.8 Summary 292# H: y7 O8 _* R% [6 N3 |0 k
Problems 294# g. }: a6 d5 G; {4 K- \
References 301
9 K" Q* C3 P* T" P7 T6 Filter Realizations 303# {4 K6 e$ o3 v6 }& P) l% w- R
6.1 Introduction 3032 |$ \3 U: b0 @) v
6.2 FIR Filter Realizations 305# a+ W# V8 j: h0 F' D
6.2.1 Lattice Structure for FIR Filters 309
8 U3 d1 Y( q: g2 G$ v7 @6.2.2 Linear Phase FIR Filter Realizations 310
* s% D5 L: m5 E, ?, p! F. g) t$ u+ ?" ^6.3 IIR Filter Realizations 312, _' d9 d1 s1 P2 m: ~4 Y. T% z
6.4 Allpass Filters in Parallel 320+ m( X6 P! u" D3 W
6.4.1 Design Procedure 325$ E) i0 {  c# x9 V8 ~4 F' i
6.4.2 Lattice–Ladder Realization 326; D7 D; h% m* P& ^9 T9 b4 v2 o. L7 G
6.5 Realization of FIR and IIR Filters Using MATLAB 327
+ v$ Q+ K8 b: K3 k9 I9 z6.5.1 MATLAB Program Used to Find Allpass Filters in Parallel 334! [' \  A! [) t3 y
6.6 Summary 346
( y! {4 Z* X1 K, EProblems 347
+ `0 y  v  j7 W/ r: _, DReferences 353
% X) f4 e* j9 K* [+ O7 Quantized Filter Analysis 354
% o: w" ~+ X% d% p$ G7.1 Introduction 354
  ~  v$ H! S1 R& t. g1 b' e" v7.2 Filter Design–Analysis Tool 355
. E4 o1 a& z. w6 r! x& ~: @7.3 Quantized Filter Analysis 3603 ~/ R( ^6 ^6 w4 Y3 T
7.4 Binary Numbers and Arithmetic 360/ K  q6 w" P6 l! E6 L7 k" w3 p
7.5 Quantization Analysis of IIR Filters 367; n8 }( ]3 Q: h( x5 Y* |) o$ U
7.6 Quantization Analysis of FIR Filters 375( n2 u8 M- |6 y8 C4 q; G& f! c" D
7.7 Summary 3798 D( k4 y0 D- k' |
Problems 379; I- c0 `( f( @8 i% [" \
References 379
, U; j! K3 L5 h( J: e2 a. R: H% l8 Hardware Design Using DSP Chips 381& S2 s/ F3 c- P8 F
8.1 Introduction 381
6 p0 y/ t0 |& [) `: m2 p$ Y+ o8.2 Simulink and Real-Time Workshop 381$ ^4 O8 G% ~9 i) u( z
8.3 Design Preliminaries 383
5 S4 h! U; E. x9 ^8.4 Code Generation 385" h2 @: I. _! f2 N3 x5 O/ f
8.5 Code Composer Studio 3868 V4 ]- ]8 X# P4 Q
8.6 Simulator and Emulator 388
7 }0 V1 G6 p3 g# ~3 o, J/ _7 d% A8.6.1 Embedded Target with Real-Time Workshop 389* M1 Q# a2 N( F4 C
8.7 Conclusion 3891 D9 G& s7 E0 ~' }: \6 L1 M( Q
References 390$ @# p. v  f3 E; L& }' }: Z
9 MATLAB Primer 391
7 G4 G( J- D2 B* E- b9.1 Introduction 391
- ~1 [. X" ^# F4 M' {% Y8 M. j6 s2 k9.1.1 Vectors, Arrays, and Matrices 392) F$ m. e" Q8 S$ s9 i  @6 y7 M
9.1.2 Matrix Operations 393% E+ }1 }4 o  t1 h: X, t  S
9.1.3 Scalar Operations 398( k1 d% Y5 Z# _( @+ r+ w/ N" Q) T
9.1.4 Drawing Plots 4007 J& I! \7 G* B4 f3 {6 |
9.1.5 MATLAB Functions 400
0 k# j3 X4 ~2 f  W' |$ H- H& U0 |4 O9.1.6 Numerical Format 401
: g, r+ G+ h4 k7 _$ u! \+ _9.1.7 Control Flow 402
% y9 |, u8 V  `3 I2 W% x9.1.8 Edit Window and M-file 403
" t6 f. t9 q. C9.2 Signal Processing Toolbox 405
6 v+ C6 b5 p5 v9.2.1 List of Functions in Signal Processing Toolbox 406
$ d) Z; [/ n8 uReferences 414; l. ?- b5 O8 g  l( f& K: d7 u
Index 415
" ]. N/ G- C* `: l

数字信号处理和滤波器设计入门.rar

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