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简介
本书是作者20多年教学经验的结晶，阐述了数字信号处理的理论和现实应用。书中不仅包含信号与系统的基础内容，还讨论了更多的DSP高级概念。阐述数学概念时，作者清晰的思路和严谨的推导将有助于读者掌握理论的来龙去脉。 本书可用作大学教材，也可用于自修。所含内容有：
贯穿始终的大量实例和应用。
对信号与系统的介绍性回顾。
关于连续时间的和离散时间的信号与系统如何共存的讨论。
数字与模拟滤波器的最常见的设计方式，以及每项技术的原理与限制。
多速率数字信号处理的基本原理及其在信号重新取样、高效滤波器设计和信号数字化中的应用。 介绍了使用滤波器组进行的信号分解，对DFT滤波器组和最大抽选器给予了特别关注， 就多路复用转换器展开易于理解的讨论，对诸如时分多址联接(TDMA)和频分多址联接(FDMA) 等数字通信技术给予了特别关注 介绍了时频分解(如短时傅里叶变换、盖博变换、小波变换)，以帮助有兴趣的读者理解最高级的文献 。更多>>
目录
chapter 1
fundamentals of signals and systems
1.1 signals 1
1.2 systems 17
1.3 fourier analysis of discrete time signals 42
1.4 fourier analysis of continuous time signals 55
chapter 2
discrete time processing of continuous time signals
2.1 introduction 83
2.2 structure of a digital filter 84
2.3 frequency domain analysis of a digital filter 85
2.4 quantization errors 92
2.5 prediction-based sampling methods:
sigma and sigma-delta modulation 98
chapter
fourier analysis of discrete time signals
3.1 introduction 107
3.2 discrete time fourier transform (dtft) 107
3.3 discrete fourier transform (dft) 111
3.4 the dft as an estimate of the dtft 117
.3.5 dft for spectral estimation 123
3.6 dft for convolution 130
3.6 dft/dct for compression 134
3.7 the fast fourier transform (fft) 140
chapter 4
digital filters
4.1 introduction 151
4.2 ideal versus nonideal filters 152
4.3 finite impulse response (fir) filters 157
4.4 infinite impulse response (iir) filters 172
chapter 5
digital filters implementation
5.1 introduction 199
5.2 elementary operations 199
5.3 state space realization of digital filters 203
5.4 robust implementation of digital filters 213
5.5 robust implementation of equiripple fir filters 227
chapter 6
multirate digital signal processing: fundamentals 234
6.1 introduction 234
6.2 statement of the problem and definitions 235
6.3 analysis of downsampling and upsampling 238
6.4 sampling rate conversion by a rational factor 250
6.5 multistage implementation of digital filters 253
6.6 efficient implementation of multirate systems 256
6.7 application of multirate dsp: digital-to-analog
conversion 260
6.8 sampling frequency and quanfization error 264
chapter 7
dft filter banks and transmultiplexers
7.1 introduction 270
7.2 dft filter banks 272
7.3 maximally decimated dft filter banks
and transmultiplexers 279
7.4 transmultiplexers 284
7.5 application of transmultiplexers to digital
communications modulation 291
chapter 8
maximally decimated filter banks
8.1 introduction 302
8.2 vector spaces 303
8.3 two-channel perfect reconstruction conditions 311
8.4 design of perfect reconstruction filter banks
with real coefficients 320
8.5 lattice implementation of orthonormal filter banks 328
8.6 application to an audio signal 333
chapter 9
time frequency expansion: an introdudion
9.1 introduction 337
9.2 the short time fourier transform (stft) 340
9.3 the gabor transform (gt) 345
9.4 the wavelet transform 351
9.5 recursive multiresolution decomposition 360
appendixes 372
index 375
fundamentals of signals and systems
1.1 signals 1
1.2 systems 17
1.3 fourier analysis of discrete time signals 42
1.4 fourier analysis of continuous time signals 55
chapter 2
discrete time processing of continuous time signals
2.1 introduction 83
2.2 structure of a digital filter 84
2.3 frequency domain analysis of a digital filter 85
2.4 quantization errors 92
2.5 prediction-based sampling methods:
sigma and sigma-delta modulation 98
chapter
fourier analysis of discrete time signals
3.1 introduction 107
3.2 discrete time fourier transform (dtft) 107
3.3 discrete fourier transform (dft) 111
3.4 the dft as an estimate of the dtft 117
.3.5 dft for spectral estimation 123
3.6 dft for convolution 130
3.6 dft/dct for compression 134
3.7 the fast fourier transform (fft) 140
chapter 4
digital filters
4.1 introduction 151
4.2 ideal versus nonideal filters 152
4.3 finite impulse response (fir) filters 157
4.4 infinite impulse response (iir) filters 172
chapter 5
digital filters implementation
5.1 introduction 199
5.2 elementary operations 199
5.3 state space realization of digital filters 203
5.4 robust implementation of digital filters 213
5.5 robust implementation of equiripple fir filters 227
chapter 6
multirate digital signal processing: fundamentals 234
6.1 introduction 234
6.2 statement of the problem and definitions 235
6.3 analysis of downsampling and upsampling 238
6.4 sampling rate conversion by a rational factor 250
6.5 multistage implementation of digital filters 253
6.6 efficient implementation of multirate systems 256
6.7 application of multirate dsp: digital-to-analog
conversion 260
6.8 sampling frequency and quanfization error 264
chapter 7
dft filter banks and transmultiplexers
7.1 introduction 270
7.2 dft filter banks 272
7.3 maximally decimated dft filter banks
and transmultiplexers 279
7.4 transmultiplexers 284
7.5 application of transmultiplexers to digital
communications modulation 291
chapter 8
maximally decimated filter banks
8.1 introduction 302
8.2 vector spaces 303
8.3 two-channel perfect reconstruction conditions 311
8.4 design of perfect reconstruction filter banks
with real coefficients 320
8.5 lattice implementation of orthonormal filter banks 328
8.6 application to an audio signal 333
chapter 9
time frequency expansion: an introdudion
9.1 introduction 337
9.2 the short time fourier transform (stft) 340
9.3 the gabor transform (gt) 345
9.4 the wavelet transform 351
9.5 recursive multiresolution decomposition 360
appendixes 372
index 375
Modern digital signal processing = 现代数字信号处理 /
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