The DSP Handbook : Algorithms, Applications and Design Techniques (HAR/CDR)

The DSP Handbook : Algorithms, Applications and Design Techniques (HAR/CDR)

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  • 製本 Hardcover:ハードカバー版/ページ数 664 p.
  • 言語 ENG,ENG
  • 商品コード 9780201398519
  • DDC分類 621.3822

Table of Contents

Preface                                            ix
Acknowledgements xii
Part 1 Understanding DSP and its uses
DSP -- what is it? 3 (12)
Introduction 4 (1)
DSP -- what is it? 4 (2)
DSP -- a very short history lesson 6 (1)
DSP -- where and how is it used? 7 (3)
DSP -- what are the benefits of 10 (3)
processing signals digitally?
DSP -- how quickly can I get up to speed? 13 (1)
DSP -- how can I get started? 13 (1)
DSP -- the future 14 (1)
Questions 14 (1)
Designing with DSP -- what's required? 15 (85)
Overview of DSP application design 16 (26)
DSP software development 42 (22)
Developing and debugging real-time 64 (14)
software
Hardware development platforms 78 (4)
Algorithm visualization and development 82 (16)
Questions 98 (1)
References 98 (2)
DSP devices -- what's inside? 100(107)
Signal processing algorithms and 101(1)
applications
DSP characteristics and features 102(9)
General purpose DSP device or ASIC? 111(2)
DSP performance benchmarks 113(4)
DSP system architectures 117(8)
Data representation 125(11)
What's inside a DSP device? A detailed 136(58)
look at the core
DSP arithmetic -- a hardware perspective 194(11)
Questions 205(1)
References 206(1)
DSP systems -- interfacing with the outside 207(76)
world
DSP devices -- beyond the core 208(17)
Hardware interfacing and I/O control 225(19)
System management and control 244(8)
All the analog bits and pieces (i.e. ADC, 252(9)
DAC anti-aliasing, over-sampling, etc)
Getting signals in 261(6)
Getting signals out 267(3)
Getting signals in and out 270(1)
Digital up- and down-conversion 271(4)
Interfacing with the real world 275(3)
Questions 278(1)
References 279(4)
Part 2 DSP algorithm ToolBox -- making it
happen
Applications ToolBox 1: General-purpose 283(55)
algorithms
Introduction 284(1)
Logical operations 284(1)
Arithmetic operations 284(5)
Basic system building blocks 289(6)
Linear scaling 295(2)
Waveform generation 297(10)
Quadrature signal processing 307(5)
Waveform modulation 312(5)
Waveform detection/demodulation 317(9)
Frequency translation 326(5)
Signal averaging 331(1)
Automatic control systems 332(5)
Questions 337(1)
Applications ToolBox II: Digital filter 338(58)
design
Introduction 339(1)
General filter design options 339(5)
Digital filter methods 344(2)
Digital filter design options 346(11)
Digital filter structures and 357(8)
quantization effects
Digital filter algorithms 365(1)
Filter design summary 366(2)
Filter design packages 368(5)
Specialist filter types 373(22)
Questions 395(1)
Applications ToolBox III: Spectral analysis 396(79)
The properties of signals 397(5)
The discrete Fourier transform 402(17)
The Fast Fourier Transform 419(16)
FFT implementation using DSP 435(4)
Using the discrete Fourier transform to 439(7)
process continuous signals
Discrete time convolution and correlation 446(10)
Spectral analysis 456(5)
Related transforms 461(12)
Questions 473(1)
References 473(2)
Applications ToolBox IV: Specialist 475(48)
applications
Dynamic range control -- dynamics 476(15)
processors
Parametric equalizers 491(7)
Audio effects algorithms 498(17)
Audio data compression 515(4)
Questions 519(1)
References 519(4)
Part 3 Theory and practice
Theory behind the algorithms -- how do they 523(93)
work?
Introduction 524(1)
Chapter overview 524(1)
Classification of signals 524(5)
The DSP model 529(3)
Signal analysis tools 532(7)
Windowing and sampling 539(7)
Information recovery from sampled signals 546(6)
Linear system behavior 552(7)
Application of analysis to the DSP system 559(2)
model
Frequency transform theory 561(7)
Digital filter introduction 568(1)
Getting started with simple filters 569(23)
Higher-order filter design theory 592(23)
Questions 615(1)
References 615(1)
Putting it all together -- case studies 616(27)
Introduction 617(1)
High-speed Internet wireless modem 617(10)
DSP based audio processor 627(16)
Appendix 1 Useful trigonometric identities and 643(1)
series expansions
Appendix 2 Derivation of continuous signal 644(4)
correlation and spectral density functions from
samples
Appendix 3 CD contents 648(3)
Index 651