|
|
EDA365欢迎您登录！
您需要 登录 才可以下载或查看，没有帐号？注册
x
D-S-P b-o-o-k share1 e% V* j8 y& s5 `/ d
a" q9 H" Z! s3 o
Chapter 1. Signals and Systems 1# ]5 _7 P2 \$ s
1.1 Introduction 16 v$ L/ A1 a6 m6 }
1.2 Discrete-Time Signals 1: I8 \+ h7 V2 z+ N7 j
1.2.1 Complex Sequences 2
" v; M# |8 Q' |) a' d5 G1.2.2 Some Fundamental Sequences 2
& p6 v4 L7 s) u3 |( d1 J1.2.3 Signal Duration 37 z6 M# b- K4 ]/ ~0 c! B& v
1.2.4 Periodic and Aperiodic Sequences 3- N1 {2 @! l/ E2 D8 Y
1.2.5 Symmetric Sequences 46 u P! T/ J1 |, Z! D% H7 Z8 T. q; N
1.2.6 Signal Manipulations 4 B4 Y9 K/ L) r% c' @
1.2.7 Signal Decomposition 6
" E# S" G/ n3 P( T8 n1.3 Discrete-Time Systems 7
/ q' \) q0 v( m* X6 Q6 h1.3.1 Systems Properties 7
4 |5 d5 x8 V p7 c5 V5 c' F1.4 Convolution 11' z7 D# j8 ?3 M" q+ n8 j9 f/ H3 A5 Q
1.4.1 Convolution Properties 11
# S$ `/ Y( w+ N+ h1.4.2 PeRForming Convolutions 121 w2 z' t# M$ e+ T# }2 F
1.5 Difference Equations 15
/ R% D, A _ ~, MSolved Problems 18
], v" t- |# P% ^$ ?Chapter 2. Fourier Analysis 556 Z9 S( M& s v1 S# h. l) X4 R
2.1 Introduction 555 C' U2 [0 z6 x; f: M
2.2 Frequency Response 559 G c, h' q0 f
2.3 Filters 58) @5 _- J2 @0 x' Z' t9 S6 i$ Y" W2 u
2.4 Interconnection of Systems 59# g& N2 Y$ b! x0 h. ]3 W6 s1 C
2.5 The Discrete-Time Fourier Transform 61; C8 b0 s# h+ t; k7 e
2.6 DTFT Properties 62
' }; E* C V1 c& `6 r) l2.7 Applications 64
/ G- H) F9 f- X4 A2.7.1 LSI Systems and LCCDEs 64
) L' }9 H1 k0 T, q: v0 f2.7.2 Performing Convolutions 65/ B @- c+ d( v# D# ^5 [
2.7.3 Solving Difference Equations 66- Q, F% [1 g4 v6 k& _
2.7.4 Inverse Systems 66+ V' n2 t% |( L3 ]+ t4 n
Solved Problems 67
$ N/ x, V3 o3 E9 E# iChapter 3. Sampling 101# u! Q' ^1 M$ i! A
3.1 Introduction 101( ^2 S: a3 b. Y2 B) x: A+ F! F
3.2 Analog-to-Digital Conversion 1013 R$ n# U9 G* X# \: Y0 s
3.2.1 Periodic Sampling 101) q, Q- v; J/ |2 j
3.2.2 Quantization and Encoding 104
$ q3 r ]- A: i+ f( C3.3 Digital-to-Analog Conversion 106
5 X' k3 a% L4 `# o2 x1 M3 K8 y0 P3.4 Discrete-Time Processing of Analog Signals 108" U" C7 L+ F+ v/ p! }
3.5 Sample Rate Conversion 110, s3 }" k; F7 H) h* I# z0 \. z3 @- r
3.5.1 Sample Rate Reduction by an Integer Factor 1105 ~) L& u+ N! D3 G, p! t
3.5.2 Sample Rate Increase by an Integer Factor 111
; B" v7 B( @5 `$ S( ?7 l3.5.3 Sample Rate Conversion by a Rational Factor 1130 d( T0 {, G% x- N
Solved Problems 114, f( d, h+ ]5 S1 s" \
Chapter 4. The Z-Transform 142# |# \1 T0 }! n. L2 u
4.1 Introduction 142
, N0 |8 u0 M& w, U& O+ Y4.2 Definition of the z-Transform 142# v$ f% P9 c' n% K w/ L
4.3 Properties 146) x) d& x2 s9 ]
vii
5 M& S% g e# [4.4 The Inverse z-Transform 149
/ @# b- p% ^: T: p4.4.1 Partial Fraction Expansion 149! ]; ]2 W6 Z F" c
4.4.2 Power Series 150
6 [8 K% v+ A+ a) z0 O4.4.3 Contour Integration 1518 `7 X5 T8 S% f6 h
4.5 The One-Sided z-Transform 151
1 U+ `' R+ e, Q, gSolved Problems 152
4 V/ S" w! a8 t6 pChapter 5. Transform Analysis of Systems 183* X6 A* S6 S3 b+ }8 T' K
5.1 Introduction 183' ?9 {" B" X- w% c
5.2 System Function 183# T! O4 T; q4 A. g9 I' Y4 x, |% I
5.2.1 Stability and Causality 184
3 N+ j8 Q5 q5 f$ M' o1 W5.2.2 Inverse Systems 186
2 X: { Z/ j$ X$ e0 i/ v ^5.2.3 Unit Sample Response for Rational System Functions 1873 d0 e1 U7 u7 u1 s. p2 D+ P; @4 ]
5.2.4 Frequency Response for Rational System Functions 188
3 U0 B; s# r6 t$ Z9 U9 v7 i& [9 \5.3 Systems with Linear Phase 189
" R3 \( M( R: u5 ?% a5.4 Allpass Filters 193) S( \0 H$ j3 w" f7 f5 \
5.5 Minimum Phase Systems 194 N2 o1 b8 U7 q& j' V
5.6 Feedback Systems 195
5 c9 t2 u; ^; h: `8 mSolved Problems 196
* ?6 M/ ~0 u3 q+ WChapter 6. The DFT 2239 ^! g# ^+ v2 j
6.1 Introduction 223+ _( p, f' w ^
6.2 Discrete Fourier Series 2231 e5 z+ x* U! C
6.3 Discrete Fourier Transform 226
, m3 t4 w0 T$ t: ~3 ?( x( T' L6.4 DFT Properties 227
1 T' R+ P9 r4 P' a. C6.5 Sampling the DTFT 231- G+ {: @# [9 w4 d
6.6 Linear Convolution Using the DFT 232
: S K' d5 \3 {! N% PSolved Problems 235- H X3 Z7 u8 N* x: { |
Chapter 7. The Fast Fourier Transform 262
9 q$ k% c) o# `7.1 Introduction 262$ V6 w& c! K! E8 ?( M3 ?8 m! M
7.2 Radix-2 FFT Algorithms 262% F, V7 ]* p5 k3 W- r5 g/ Y3 H( l
7.2.1 Decimation-in-Time FFT 262( X4 Q2 R/ ^" z
7.2.2 Decimation-in-Frequency FFT 266& N: X6 P5 b0 S3 M1 I
7.3 FFT Algorithms for Composite N 267+ f; |0 P: n% |) T& \
7.4 Prime Factor FFT 271% r1 d( @7 g m# V/ }. \. i
Solved Problems 273
6 F7 {' ^ j! W2 f4 ZChapter 8. Implementation of Discrete-Time Systems 287
) B) r- v/ j: Q6 x% t8.1 Introduction 287
( P: w! x$ v' Z% ^* R8.2 Digital Networks 2875 e7 y3 R7 A$ H7 t" L1 k: T7 K/ `9 _
8.3 Structures for FIR Systems 289+ w2 Z% c$ n& o8 t8 x+ M9 ^
8.3.1 Direct Form 289
; Y% V. a. e6 e* c5 j8.3.2 Cascade Form 2891 n6 p9 y: s' t" k7 o4 B. ~
8.3.3 Linear Phase Filters 2898 e- b0 A) y3 z% q/ F: d) `. S
8.3.4 Frequency Sampling 2910 H2 W/ N% Q/ w
8.4 Structures for IIR Systems 291% w: ^: a: J3 N# e7 N: I" j& T% h
8.4.1 Direct Form 292
8 `* b& i' n5 [8.4.2 Cascade Form 294- c) b4 \3 n: ~
8.4.3 Parallel Structure 295
* F- e) w2 s2 e8 J8.4.4 Transposed Structures 296( W4 R9 {* K9 F- E( U) m# ?
8.4.5 Allpass Filters 296
5 |3 v; a: X4 H6 s G8.5 Lattice Filters 298" p- Z, d# J# Y, d
8.5.1 FIR Lattice Filters 298) l6 h( D' J, O. ~
8.5.2 All-Pole Lattice Filters 300" \$ w. m6 ~! L1 L; y
viii( c/ n9 {. y& K! z
8.5.3 IIR Lattice Filters 301# [5 j4 ?" V) D, ?! Q
8.6 Finite Word-Length Effects 3029 P- D) ~2 S$ _$ m0 y2 }
8.6.1 Binary Representation of Numbers 302
/ m9 s2 o' X+ m! y8.6.2 Quantization of Filter Coefficients 304
2 Q' g: o* F9 H2 w/ r8 r1 P8.6.3 Round-Off Noise 306
3 a- F9 S c4 y3 t# a* ? O; [ o8.6.4 Pairing and Ordering 3093 j2 G7 Y( H% `8 h' F
8.6.5 Overflow 309
8 ~. z3 T" x1 N1 `7 ~Solved Problems 310
- A/ r$ x9 S% n$ N* IChapter 9. Filter Design 358, X7 s- C, B1 k& v! F9 q
9.1 Introduction 358: O2 @! c: F2 j! N1 L
9.2 Filter Specifications 358
1 V1 k, ^4 p) G$ U9.3 FIR Filter Design 359
- U3 y5 k, f. X$ D: i7 d9.3.1 Linear Phase FIR Design Using Windows 359
5 G/ h. O" W' F8 P% H9.3.2 Frequency Sampling Filter Design 363/ k5 I5 k5 Z8 T: P( M1 N1 H
9.3.3 Equiripple Linear Phase Filters 363) f2 a# P1 v4 W7 {, L+ s
9.4 IIR Filter Design 366- ]+ @5 @3 T' N# m! |4 y' w
9.4.1 Analog Low-Pass Filter Prototypes 367
2 N+ ^: \* v; q) K& J9.4.2 Design of IIR Filters from Analog Filters 373
& P! R) _5 L& F2 F3 T: g9.4.3 Frequency Transformations 376; H. x* n. |& G3 m; U
9.5 Filter Design Based on a Least Squares Approach 376' W; H; v( v( A! a, s0 {
9.5.1 Pade Approximation 377( X& J( s5 r' {0 E
9.5.2 Prony's Method 378& d+ v" X0 q' X! z) c- E. c
9.5.3 FIR Least-Squares Inverse 3799 c' ~/ ^1 L+ H4 v( _" `( Y& g) ]
Solved Problems |
|
/1 
发表于 2016-11-15 15:51
收藏
淘帖
支持！
反对！