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书名:Digital Signal Processing : A Practical Approach (2nd Edition)
作者:Emmanuel C. Ifeachor, Barrie W. Jervis
年份:2003 (影印版)
语言:英语
格式:pdg
封面:
简介:
Now in its second edition,Digital Signal Processing offers modern coverage of the fundamentals, implementationand applications of digital signal processing techniques from a practical pointof view. The past ten years have seen a significant growth in DSP applicationsthroughout all areas of technology—and this growth is expected well intothe next millennium. This book covers a number of DSP techniques that are of particularrelevance to industry such as adaptive filtering and multirate processing. Theemphasis throughout the book is on the practical aspects of DSP. KEY TOPICS:Chapter topics include analogue I/O interface for real-time DSP systems, discretetransform, the z-transform and its applications in signal processing, correlationand convolution, a framework for digital filter design, finite impulse response(FIR) filter design, design of infinite impulse response (IIR) digital filters,multirate digital signal processing, adaptive digital filters, spectrum estimationand analysis, general and special purpose hardware for DSP, and finite word lengtheffects in fixed point DSP systems and solutions. MARKET: A reference ofDSP techniques for industry professionals.
Features
- NEW—Introductory chapter on analogue I/O design—Illustrateshow to obtain digital signals from analogue ones.
- NEW—Applications in audio, medical and telecommunications engineering.
- NEW—Coverage of DSP system design—Includes the use ofMATLAB.
- NEW—More applications of multirate processing.
- NEW—More hardware included in later chapters—CoveringTI and Motorola systems.
- Mathematical content reduced to that which is necessary for comprehensionof DSP techniques—Also, concepts are illustrated with practicallyoriented worked examples.
- Real-world application examples and end-of-chapter problems.
- Realistic examples—Illustrate important concepts and reinforcethe knowledge gained.
- C language implementation of many DSP algorithms and functions.
Table of Contents
1. Introduction.
2. Analogue I/O Interface for Real-Time DSP Systems.
3. Discrete Transform.
4. The Z-Transform and Its Applications in Signal Processing.
5. Correlation and Convolution.
6. A Framework for Digital Filter Design.
7. Finite Impulse Response (FIR) Filter Design.
8. Design of Infinite Impulse Response (IIR) Digital Filters.
9. Multirate Digital Signal Processing.
10. Adaptive Digital Filters.
11. Spectrum Estimation and Analysis.
12. General and Special Purpose Hardware for DSP.
13. Finite Word Length Effects in Fixed Point DSP Systems and Solutions.
14. Applications, Case Studies and Assessment.
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