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Digital Signal Processing A Practical Approach, 2nd Edition
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Now in its second edition,
Digital Signal Processing offers modern coverage of the fundamentals, implementation
and applications of digital signal processing techniques from a practical point
of view. The past ten years have seen a significant growth in DSP applications
throughout all areas of technology—and this growth is expected well into
the next millennium. This book covers a number of DSP techniques that are of particular
relevance to industry such as adaptive filtering and multirate processing. The
emphasis throughout the book is on the practical aspects of DSP. KEY TOPICS:
Chapter topics include analogue I/O interface for real-time DSP systems, discrete
transform, the z-transform and its applications in signal processing, correlation
and 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 estimation
and analysis, general and special purpose hardware for DSP, and finite word length
effects in fixed point DSP systems and solutions. MARKET: A reference of
DSP techniques for industry professionals.
Features
- NEW—Introductory chapter on analogue I/O design—Illustrates
how to obtain digital signals from analogue ones.
- NEW—Applications in audio, medical and telecommunications engineering.
- NEW—Coverage of DSP system design—Includes the use of
MATLAB.
- NEW—More applications of multirate processing.
- NEW—More hardware included in later chapters—Covering
TI and Motorola systems.
- Mathematical content reduced to that which is necessary for comprehension
of DSP techniques—Also, concepts are illustrated with practically
oriented worked examples.
- Real-world application examples and end-of-chapter problems.
- Realistic examples—Illustrate important concepts and reinforce
the 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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