Digital Signal Processing

Modern coverage of the fundamentals, implementation and applications of digital signal processing techniques from a practical point of view This successful textbook covers most aspects of DSP found in undergraduate electrical, electronic or communications engineering courses. Unlike many other texts, it also covers a number of DSP techniques which 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.



Autorentext
Emmanuel Ifeachor is Professor of Intelligent Electronic Systems and Director of the Centre for Communications, Networks and Information Systems at the University of Plymouth, UK. Barrie Jervis is Professor of Electronic Engineering at Sheffield Hallam University, UK. This book evolved from the authors' extensive experience in teaching practically oriented courses in DSP to both undergraduates and engineers in industry. Their own research in applied DSP has influenced the contents of the book and provided many of the examples and case studies.

Inhalt
1. Introduction. 2. Analog I/O interface for real-time DSP systems. 3. Discrete transforms. 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 digital signal processors. 13. Analysis of finite wordlength effects in fixed-point DSP systems. 14. Applications and design studies. 

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