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Digital Signal Processing By Emmanuel Ifeachor

Digital Signal Processing by Emmanuel Ifeachor

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Provides practical coverage of the fundamentals of digital signal processing (DSP). This text also provides insight and guidance on how to use DSP techniques in order to design real engineering systems. It covers a number of DSP techniques, such as adaptive filtering and multirate processing.

Digital Signal Processing Summary

Digital Signal Processing: A Practical Approach by Emmanuel Ifeachor

Modern coverage of the fundamentals, implementation and applications of digital signal processing techniques from a practical point of view. The past ten years has seen a significant growth in DSP applications throughout all areas of technology and this growth is expected well into the next millennium. 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.

Table of Contents

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.

Additional information

Digital Signal Processing: A Practical Approach by Emmanuel Ifeachor
Pearson Education (US)
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