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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 |正序浏览 |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:1 j( d* V' f: D% X1 P/ \( g
Preface xi
* h4 |9 |' I! ~1 h1 A# [* [& m  A1 Introduction 1+ W- ]5 O* R7 v1 d; Q2 C& R
1.1 Introduction 1/ {( H' m, n3 l% d$ a2 T6 N8 c
1.2 Applications of DSP 1
/ E) b% I0 c& N! o2 e4 C; V1.3 Discrete-Time Signals 3. }& x# x, @8 e& R$ L" k
1.3.1 Modeling and Properties of Discrete-Time Signals 8
. {2 s' ~/ x/ u* L( F* K1.3.2 Unit Pulse Function 9
- n  n9 J) t- A0 p6 }% _1.3.3 Constant Sequence 10
9 Y* ?. }2 E' H1.3.4 Unit Step Function 10+ {, C" J6 u$ y' p& ~2 s) k. i
1.3.5 Real Exponential Function 12# j1 v" Z, n/ X" j- J/ d2 \
1.3.6 Complex Exponential Function 12: J; w$ ^1 b: i7 T
1.3.7 Properties of cos(ω0n) 14
6 @5 y  f0 g" p, h. A; T; \- N1.4 History of Filter Design 19: M9 H9 z8 d- y: ]' F+ H4 g" W
1.5 Analog and Digital Signal Processing 23/ A& G" \7 |) R( p. @! g
1.5.1 Operation of a Mobile Phone Network 253 ^; J( o1 P- C6 @6 |
1.6 Summary 28
# g+ A+ g/ q$ qProblems 299 O8 k* w) O4 r" ^$ R
References 30
* Y% W; E3 \* L3 `7 N- o2 Time-Domain Analysis and z Transform 32
: W) _7 V+ W; _( q$ Z" I( l; p2.1 A Linear, Time-Invariant System 32
+ ?+ L3 r, b, n  F1 u$ v2.1.1 Models of the Discrete-Time System 33
: `0 d# Q: O6 M% I9 o8 G9 w1 `2.1.2 Recursive Algorithm 36
& Z3 C  g& P$ d* ~" Q4 E  J2.1.3 Convolution Sum 38( C8 i# a: \( o$ W9 B& C5 V
2.2 z Transform Theory 41) L) G6 H9 Q: Y5 `, X& D: f
2.2.1 Definition 41
' y8 Z6 K5 ~: L+ G6 n  Q9 G2.2.2 Zero Input and Zero State Response 49
+ z; J  l3 T8 @- U" `: r5 H2.2.3 Linearity of the System 50
6 s. ?: x, p; \( R/ i% |2.2.4 Time-Invariant System 50+ m+ j* d) e6 q6 o
2.3 Using z Transform to Solve Difference Equations 51
+ [6 o4 p2 [9 B1 o& |, m" w( G; U2.3.1 More Applications of z Transform 56
2 H$ L4 F' o9 _2.3.2 Natural Response and Forced Response 58
  T8 v8 c0 w% W2 n  a$ Y2.4 Solving Difference Equations Using the Classical Method 594 O) H. [( i- ^  q8 P5 h
2.4.1 Transient Response and Steady-State Response 63
7 l! y, D& I( \6 T8 a2 f' B+ f- I2.5 z Transform Method Revisited 645 n+ U) o3 _6 l
2.6 Convolution Revisited 654 M' v; d- H! ~8 c8 U7 g9 N! ]
2.7 A Model from Other Models 70/ S) w! B! {4 a: L
2.7.1 Review of Model Generation 72
" Y) y; X6 C: F$ l5 k/ p1 ^' R2.8 Stability 77
- N% @, a* N/ X: B+ p+ L4 n5 A/ s2.8.1 Jury–Marden Test 783 q3 H& W8 H6 P7 \2 G
2.9 Solution Using MATLAB Functions 81! B: p9 s  b3 P2 I5 w0 _
2.10 Summary 93
4 b* ^9 H2 m% H; TProblems 94
; I5 }8 U% ^. nReferences 110
; t* @! d0 ^1 z8 K( ^3 Frequency-Domain Analysis 112
; ]2 O/ t1 Q6 y" C" w3 |* S. d3.1 Introduction 112/ n3 F  P; b& T
3.2 Theory of Sampling 113
, C9 K  c' f6 X% L) Q1 \7 g3.2.1 Sampling of Bandpass Signals 120( |+ i& B4 M1 T# h$ h1 Q4 ]
3.3 DTFT and IDTFT 122
0 g4 f1 v& j* D/ n+ ^) z" N& k3.3.1 Time-Domain Analysis of Noncausal Inputs 125
& q5 C2 G) w. _$ T# |2 ^; H3.3.2 Time-Shifting Property 1278 C3 P; y& _2 Z+ \
3.3.3 Frequency-Shifting Property 127
: I5 g3 {7 M( j( `3.3.4 Time Reversal Property 128
0 R  F( E9 M2 z% G& |2 i3.4 DTFT of Unit Step Sequence 138! ]6 z& ~6 w! i
3.4.1 Differentiation Property 139
$ _6 g2 r4 z: G$ }- W& i3.4.2 Multiplication Property 142
% w- \4 Q8 }! k5 O) ]( k0 w3.4.3 Conjugation Property 145
! z2 v3 L+ P! G3.4.4 Symmetry Property 145
2 R2 `7 A3 K8 P8 b  ^% N. K/ I3.5 Use of MATLAB to Compute DTFT 147$ K# v0 g3 k3 ]) p8 `/ O8 w3 v
3.6 DTFS and DFT 154
- k, f2 S  n2 M* z4 D5 m3.6.1 Introduction 154" f! L! Q! f/ j
3.6.2 Discrete-Time Fourier Series 156" V2 h% g, K& Q* F1 s, @" H
3.6.3 Discrete Fourier Transform 1593 d+ T( v- K# a. O
3.6.4 Reconstruction of DTFT from DFT 1603 c( ^. k+ Z5 b! Z) z! n
3.6.5 Properties of DTFS and DFT 161
5 z0 U* u% p* W3 v# o6 x3.7 Fast Fourier Transform 170
! u6 b) d6 |. z3.8 Use of MATLAB to Compute DFT and IDFT 172  e, j) O8 g( k9 M4 O
3.9 Summary 177% T% ^- k% k9 @. E/ z$ ^4 q$ E
Problems 178
* b1 u' y; s8 }* IReferences 185/ H/ x  X( ^" k% ~) |% N
4 Infinite Impulse Response Filters 186
* Y8 v6 k7 W( R4.1 Introduction 186
$ W2 L3 I6 D) E6 [' p4.2 Magnitude Approximation of Analog Filters 1897 ^5 Q# v* g. m/ b2 C: _  H. d0 ^
4.2.1 Maximally Flat and Butterworth Approximation 191, ?+ j. R$ S& H
4.2.2 Design Theory of Butterworth Lowpass Filters 194
  X  ]# P; V3 H% \! C( T4.2.3 Chebyshev I Approximation 202# {5 ]( e0 k& T2 N$ F
4.2.4 Properties of Chebyshev Polynomials 2027 R3 O. Z( b  D, p
4.2.5 Design Theory of Chebyshev I Lowpass Filters 204, W2 ^; ]$ k: y+ X. _4 {1 b
4.2.6 Chebyshev II Approximation 208
, U; U9 V. t; C0 |- X) H4.2.7 Design of Chebyshev II Lowpass Filters 2105 Y- X& \. r( d* p1 `4 v- G' J
4.2.8 Elliptic Function Approximation 212- o5 |+ [( M1 {* L- z4 M/ U  ]2 V% l
4.3 Analog Frequency Transformations 212
4 U& K8 I' E% S, i4.3.1 Highpass Filter 212
6 Z+ A. i6 c/ w* `  [4.3.2 Bandpass Filter 213
+ n; a& L/ y* u4 O. K7 C4.3.3 Bandstop Filter 216
" k, \1 w; e1 [3 G% A& l3 @4.4 Digital Filters 219
! ~% Y4 |2 Y, R3 U: M- D- a. l5 q4.5 Impulse-Invariant Transformation 219+ f, ]  L4 q6 |/ ]3 K
4.6 Bilinear Transformation 221. P, I+ B1 e! F" ?) ?! {
4.7 Digital Spectral Transformation 226( t8 S% E2 h# W: A8 h& n
4.8 Allpass Filters 230
+ u" F% ?$ m, [- ~* v4.9 IIR Filter Design Using MATLAB 2312 M& b9 O. r9 o% L" E
4.10 Yule–Walker Approximation 238& z# b5 C. q! t2 E  w* O
4.11 Summary 240
8 ~+ u1 S9 A1 u; t& z! J6 J$ L% I1 bProblems 240; r7 P5 j3 q3 p
References 247
! D" l) [; a6 H% V4 u) w, F5 Finite Impulse Response Filters 249' x* r6 L4 s' ^# k9 @3 r" A) Z
5.1 Introduction 2499 `2 s, ?. m# P+ G" o
5.1.1 Notations 250
  O$ n  s# E1 ?4 O: M5.2 Linear Phase Fir Filters 251' I/ @! }4 @  U8 E
5.2.1 Properties of Linear Phase FIR Filters 256; W8 J( G7 T5 H. [% |/ s( Q
5.3 Fourier Series Method Modified by Windows 261
; [. S2 O, h+ F* e5.3.1 Gibbs Phenomenon 263
+ I. z* S& \7 |7 r. k- G5.3.2 Use of Window Functions 2662 Y1 A0 v; j" U" t
5.3.3 FIR Filter Design Procedures 268
1 o: \! a+ l9 d5 v! ~5.4 Design of Windowed FIR Filters Using MATLAB 273: H/ A. m  C" z6 R* [+ M
5.4.1 Estimation of Filter Order 273" p/ o& w2 l( t0 ]
5.4.2 Design of the FIR Filter 275- w3 K% ^! M4 @- h/ c
5.5 Equiripple Linear Phase FIR Filters 280
1 r/ u9 z+ u, k8 V5.6 Design of Equiripple FIR Filters Using MATLAB 285
; ~) o) [. g* s: U3 u* {; d" D( j5.6.1 Use of MATLAB Program to Design Equiripple FIR Filters 2850 H- q$ h% g0 H
5.7 Frequency Sampling Method 289
- c4 L" ^& {0 O; o5.8 Summary 292
" ?1 j# f1 M1 D% WProblems 294
/ ], }! ^+ K  b1 WReferences 301
) A7 d( k8 \) y3 ^! }: n6 Filter Realizations 303
& v: S8 S7 j, E' H. f, Z- i* {0 F3 {6.1 Introduction 303
4 |" n" z* ~+ I- y5 K; h6.2 FIR Filter Realizations 305
9 e8 Q9 }8 L. m" R/ ?6.2.1 Lattice Structure for FIR Filters 309# P5 P, U3 x$ R. q( R( R8 s" z0 i8 I0 ]
6.2.2 Linear Phase FIR Filter Realizations 310
5 w" \( L# ?/ w7 O& J6.3 IIR Filter Realizations 312. |3 {0 A- l1 p
6.4 Allpass Filters in Parallel 320
' ]- ^" n0 @6 z% T6.4.1 Design Procedure 325
' u: A8 o' H, G9 ~; _+ p# ?6.4.2 Lattice–Ladder Realization 326
) h/ q+ I! C9 {' L6.5 Realization of FIR and IIR Filters Using MATLAB 327
) G! D/ M; h. n! x6.5.1 MATLAB Program Used to Find Allpass Filters in Parallel 334: \* U7 s2 Y- K
6.6 Summary 346
! R- D0 T3 R4 `$ k3 hProblems 347
! r1 l( a/ X1 B8 J- gReferences 353
8 z2 r, l; {  g. j8 C# P9 W7 Quantized Filter Analysis 354
( W5 B$ x! E0 J# ]7.1 Introduction 354- |2 y3 Y9 H* N5 m/ R% N* @
7.2 Filter Design–Analysis Tool 355
, ~- V# H8 n" B: f$ G7.3 Quantized Filter Analysis 360
3 S. {8 z7 ~, G$ [7.4 Binary Numbers and Arithmetic 360
9 S7 N/ a. I! X, |: |/ S7.5 Quantization Analysis of IIR Filters 367' m3 U1 `6 G6 ?. E4 }5 D
7.6 Quantization Analysis of FIR Filters 375  h# J  j+ W9 R3 |: `' M- h' u: E; L# @
7.7 Summary 379
- Q+ ?  \! |: w) t/ {Problems 379
5 t! y$ X$ N9 C7 N, c% H9 b' V0 uReferences 379
$ A; S6 P4 v! P2 r* C, m8 G- w& b8 Hardware Design Using DSP Chips 381' m) {( u- w1 p; n* t) x  C0 ]
8.1 Introduction 381/ ]  w- U- U  ?& Q1 d' p3 {
8.2 Simulink and Real-Time Workshop 381
+ {6 v+ Q$ l( q1 p4 L5 Y8.3 Design Preliminaries 383
; ^6 A$ k) Z- g8.4 Code Generation 385; Z0 ]4 u! O8 a/ T2 @: O& c: n& h
8.5 Code Composer Studio 386
# `) ]) v" i: C+ V) z7 j" T0 b( f8.6 Simulator and Emulator 388
; N( f4 G: X& @! x8.6.1 Embedded Target with Real-Time Workshop 389
; S% T0 ]; O. k$ w1 H6 y; r9 Y8.7 Conclusion 389+ b& ^. L  {+ P/ c: v0 ^& g
References 390
8 w1 R; L- Y/ I, \5 g9 MATLAB Primer 391
. Y4 g0 W, {$ e9 l# A2 p0 N& R9.1 Introduction 391
7 d6 l* B4 G% h' n& F- n6 n9.1.1 Vectors, Arrays, and Matrices 392' U, w4 S. Z# r$ O9 j
9.1.2 Matrix Operations 393
  _! n7 F9 c9 }+ q1 ?1 g9.1.3 Scalar Operations 398
- I" Z' g+ R- [" x! m0 b/ _  {9.1.4 Drawing Plots 400
6 W  B; W! n. b" x2 v9.1.5 MATLAB Functions 400
2 ]4 x' D( z: ]& A9.1.6 Numerical Format 4017 W3 G  H* ?" v/ s1 }$ K6 w
9.1.7 Control Flow 402
/ X: s' f3 w' H2 q8 C& K/ Y5 H9.1.8 Edit Window and M-file 403
- |: y, v1 w* A9.2 Signal Processing Toolbox 405
, N1 X7 N  e3 C+ r: z+ P9.2.1 List of Functions in Signal Processing Toolbox 406# X8 |9 w" W" B/ I0 A4 q- a
References 414
7 u# d4 p/ W4 R. f! J. l! `Index 415
. J% j0 U+ ]: Z5 y+ A) n  J

数字信号处理和滤波器设计入门.rar

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