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, Analog Devices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http://www.dspstore.com下载

Andrew Bateman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。
　　lain Paterson-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。

The driving force behind the writing of this book is simply to communicate the powr, and facilitate the use, of Digital Signal Processing (DSP). In other words, to provide you the reader with the training, the tools and the building blocks necessary to assess and then unlock the potential of DSP in your own produta and services. We have set out to accopsplish this in a manner that is both easy to digest, simple to navigate, and uniquely 'hands on'
　　There are more books on DSP than almost any other engineering subject (apart from computing!), yet no other DSP text on the market has the breadth of real-time examples,graphical visualization, or practical algorithm libraries (ToolBoxes) to be found here.From the very beginning, readers can experience the power and application of DSP,brought to life at their own PC terminal. Just look out for the following icons:
　　Real-Time Audio DSP Example
　　Real-Time Visual DSP ExampleExecutable Code Example
　　Algorithms/software available on the CD Rom
　　All of these programs can be accessed from the DSPStore web site at:
　　http://www.DSPstore. com
　　Select the 'DSP Handbook' tab in DSPStore and then enter the corresponding three-digit code representing the featured algorithm or application.
　　Applications available on the CD ROM that is included with this book are listed in Appendix 3. If you are currently at a computer, why not try these examples now:In common with other texts by the authors, the balance of the book is towrd a descriptive and visual explanation of the subject matter. Mathematical analysis is, of course,provided where appropriate but only in small (and hopefully manageable) doses.
　　Hands-on algorithm solutions are presented in the form of ToolBoxes. There are a total of four ToolBoxes provided within the book: General purpose, Digital filter,Spectral analysis (FFT etc), and Special purpose algorithms. These are based on the building block approach to system design, and each algorithm is easily selected by looking for the corresponding block diagram symbol in the library at the front of each ToolBox. Here are a few examples:
　　Waveform generation
　　Linear scaling
　　Adaptive processing
　　The text also contains many written examples and descriptions of devices for most of the mainstream DSP manufacturers. These are identified in the text by the following icons:
　　Motorola
　　Texas Instruments
　　Analog Devices
　　We hope you will find that one of the main attributes of this handbook is that it is written by practicing DSP designers for DSP engineers and brings all of this experience to bear. In particular, frequent design tips are provided, describing the 'tricks of the trade'. Look out for the HOT TIP symbol With experienced DSP engineers commanding the top salaries in the industry, with the gap in supply and demand of skilled DSP staff showing no signs of easing, and with the application set for DSP ever widening, there is no better time to embrace and master this technology.
　　We hope you enjoy and benefit from reading about and experiencing first hand the power of DSP and are inspired to harness this power in your own unique applications.We would welcome and value your comments on the text and any contributions that you might like to make to future editions. Please contact us by email at the following addreases or through the DSPStoreTM web site:
　　Andrew Bateman: ab@avren.co.uk
　　Iain Paterson-Stephens: IPS@PATENWorks.com

Andrew Bateman,Iain Paterson-Stephens：Andrew Bateman: 现任Avren公司（一家从事无线通信和DSP咨询的公司）的CEO，他曾是无线系统国际有限公司的早期创始人和总监，并担任过英国布里斯托尔大学信号处理专业的教授。目前，他负责全球客户培训和咨询业务。
Iain Paterson-Stephens: 是英国德比大学数字信号处理专业的高级讲师，也是信号处理应用研究室主任和硕士研究生数字音频系统项目负责人。

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 antiaIiasing 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