书籍详情
DSP算法、应用与设计：英文版
作者：（英）Andrew Bateman，（英）Iain Paterson-Stephens著
出版社：机械工业出版社
出版时间：2003-03-01
ISBN：9787111117513
定价：¥79.00
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内容简介
本书简明易懂地阐述了数字信号处理（DSP）及其应用。它为读者提供了在产品中评估和采用DSP技术所必需的资料、工具和构件。DSP方面的书籍很多，但市场上尚无其他DSP教材像本书一样含有如此广泛的实时示例、图形可视化材料和实用的算法库．真正做到理论结合实践。本书图文并茂，数学分析清晰、简洁，实例丰富，适合课堂教学，也可用于自学。本书特点◆提供大量设计方面的专家建议◆包含许多对主流DSP厂商（Motorola，T1，AnalogDevices等）设备的介绍和实例◆实时音频和视频DSP示例使读者从一开始就可以体验DSP的能力和应用◆四个封装了算法的“工具箱”，可轻松便捷地查找感兴趣的算法／模型◆可执行代码示例可以从www．dspstore．com下载
作者简介
AndrewBateman是Avren公司的CEO、无线/DSP顾问。此前他曾担任英国布里斯托尔大学的教授。IainPaterson-Stephens是英国德比大学数字信号处理课程的高级讲师，他还是信号处理应用研究组的主任.
目录
Part 1 Understanding DSP and its uses
1 DSP -- what is it?
1.1 Introduction
1.2 DSP -- what is it?
1.3 DSP -- a very short history lesson
1.4 DSP -- where and how is it used?
1.5 DSP -- what are the benefits of processing signals digitally?
1.6 DSP -- how quickly can I get up to speed?
1.7 DSP -- how can I gat Started?
1.8 DSP -- the future
1.9 QueStions
2 Designing with DSP -- what's required?
2.1 Ovefview of DSP application design
2.2 DSP softwre development
2.3 Deve1oping and debugging real-time softwre
2.4 Hardware development platforms
2.5 Algorithm visualization and development
2.6 Questions
2.7 References
3 DSP devices -- what's inside?
3.1 Signal processing algorithms and applications
3.2 DSP characteristics and features
3.3 General purpose DSP device or ASIC?
3.4 DSP performance benchmarks
3.5 DSP system architectures
3.6 Data representation
3.7 What's inside a DSP device? A detailed look at the core
3.8 DSP arithmetic - a hardware perspective
3.9 Questions
3.10 References
4 DSP systems -- interfacing with the outside world
4.1 DSP devices -- beyond the core
4.2 Hardware interfacing and I/O control
4.3 System management and control
4.4 AIl the anaIog bitS and pieces (i.e. ADC DAC anti-aIiasing oversampling, at
4.5 Gatting signals in
4.6 Gatting signals out
4.7 Geding signals in and out
4.8 Digital up- and down-conversion
4.9 Interfacing with the real world
4.10 Questions
4.11 References
Part 2 DSP algorithm ToolBox -- making it happen
5 Applications ToolBox I: General-purpose algorithms
5.1 Introduction
5.2 Logical operations
5.3 Arithmatic operations
5.4 Basic System building blocks
5.5 Linear scaling
5.6 Waveform generation
5.7 Quadrature signal processing
5.8 Waveform modulation
5.9 Waveform datection/demodulation
5.10 Requency translation
5.11 Signal averaging
5.12 Automatic cootrol Sysems
5.13 Questions
Applications ToolBox II: Digital filter design
6.1 Introduction
6.2 General filter design options
6.3 Digital filter methods
6.4 Digital filter design options
6.5 Digital filter structures and quantization effects
6.6 Digital filter algorithms
6.7 Filter design summary
6.8 Filter design packages
6.9 Specialist filter types
6.10 Questions
7 Applications ToolBox III: Spectral analysis
7.1 The properties of signals
7.2 The discrate Fourier transform
7.3 The Fast Fourier Transform
7.4 FFT implementation using DSP
7.5 Using the discrate Fourier transform to process continuous signals
7.6 Discrate time convolution and correlation
7.7 Spectral analysis
7.8 Related transforms
7.9 Questions
7.10 References
8 Applications Tool Box IV: Specialist applications
8.1 Dynamic range control - dynamics processors
8.2 Paramatric equalizers
8.3 Audio effeCts algorithms
8.4 Audio data compression
8.5 Questions
8.6 References
Part 3 Theory and practice
9 Theory behind the algorithms -- how do they work?
9.1 Introduction
9.2 Chapter overview
9.3 Classification of signals
9.4 The DSP model
9.5 Signal analysis tools
9.6 Windowing and sampling
9.7 Information recovery from sampled signals
9.8 Linear System behavior
9.9 Application of analysis to the DSP system mode1
9.10 Frequency transform theory
9.11 Digital filter introduction
9.12 Getting Started with simple filters
9.13 Higher-order filter design theory
9.14 Questions
9.15 References
10 Putting it all together -- case studies
10.1 IntroduCtion
10.2 High-speed Internat wreless modem
10.3 DSP based audio processor
Appendix 1 Useful trigonometric identities and series expansions
Appendix 2 Derivation of continuous signal correlation and spedral density
functions from samples
Appendix 3 CD contents
Index
1 DSP -- what is it?
1.1 Introduction
1.2 DSP -- what is it?
1.3 DSP -- a very short history lesson
1.4 DSP -- where and how is it used?
1.5 DSP -- what are the benefits of processing signals digitally?
1.6 DSP -- how quickly can I get up to speed?
1.7 DSP -- how can I gat Started?
1.8 DSP -- the future
1.9 QueStions
2 Designing with DSP -- what's required?
2.1 Ovefview of DSP application design
2.2 DSP softwre development
2.3 Deve1oping and debugging real-time softwre
2.4 Hardware development platforms
2.5 Algorithm visualization and development
2.6 Questions
2.7 References
3 DSP devices -- what's inside?
3.1 Signal processing algorithms and applications
3.2 DSP characteristics and features
3.3 General purpose DSP device or ASIC?
3.4 DSP performance benchmarks
3.5 DSP system architectures
3.6 Data representation
3.7 What's inside a DSP device? A detailed look at the core
3.8 DSP arithmetic - a hardware perspective
3.9 Questions
3.10 References
4 DSP systems -- interfacing with the outside world
4.1 DSP devices -- beyond the core
4.2 Hardware interfacing and I/O control
4.3 System management and control
4.4 AIl the anaIog bitS and pieces (i.e. ADC DAC anti-aIiasing oversampling, at
4.5 Gatting signals in
4.6 Gatting signals out
4.7 Geding signals in and out
4.8 Digital up- and down-conversion
4.9 Interfacing with the real world
4.10 Questions
4.11 References
Part 2 DSP algorithm ToolBox -- making it happen
5 Applications ToolBox I: General-purpose algorithms
5.1 Introduction
5.2 Logical operations
5.3 Arithmatic operations
5.4 Basic System building blocks
5.5 Linear scaling
5.6 Waveform generation
5.7 Quadrature signal processing
5.8 Waveform modulation
5.9 Waveform datection/demodulation
5.10 Requency translation
5.11 Signal averaging
5.12 Automatic cootrol Sysems
5.13 Questions
Applications ToolBox II: Digital filter design
6.1 Introduction
6.2 General filter design options
6.3 Digital filter methods
6.4 Digital filter design options
6.5 Digital filter structures and quantization effects
6.6 Digital filter algorithms
6.7 Filter design summary
6.8 Filter design packages
6.9 Specialist filter types
6.10 Questions
7 Applications ToolBox III: Spectral analysis
7.1 The properties of signals
7.2 The discrate Fourier transform
7.3 The Fast Fourier Transform
7.4 FFT implementation using DSP
7.5 Using the discrate Fourier transform to process continuous signals
7.6 Discrate time convolution and correlation
7.7 Spectral analysis
7.8 Related transforms
7.9 Questions
7.10 References
8 Applications Tool Box IV: Specialist applications
8.1 Dynamic range control - dynamics processors
8.2 Paramatric equalizers
8.3 Audio effeCts algorithms
8.4 Audio data compression
8.5 Questions
8.6 References
Part 3 Theory and practice
9 Theory behind the algorithms -- how do they work?
9.1 Introduction
9.2 Chapter overview
9.3 Classification of signals
9.4 The DSP model
9.5 Signal analysis tools
9.6 Windowing and sampling
9.7 Information recovery from sampled signals
9.8 Linear System behavior
9.9 Application of analysis to the DSP system mode1
9.10 Frequency transform theory
9.11 Digital filter introduction
9.12 Getting Started with simple filters
9.13 Higher-order filter design theory
9.14 Questions
9.15 References
10 Putting it all together -- case studies
10.1 IntroduCtion
10.2 High-speed Internat wreless modem
10.3 DSP based audio processor
Appendix 1 Useful trigonometric identities and series expansions
Appendix 2 Derivation of continuous signal correlation and spedral density
functions from samples
Appendix 3 CD contents
Index
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