Ifeachor Digital Signal Processing

[Mireille Duhon]

Moderncoverage 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.

The second edition of this popular text continues to provide practical coverage of the fundamentals of digital signal processing (DSP) using real-world applications and practical examples to illustrate key topics. Bridging the gap between theory and practice, the text also provides insight and guidance on how to use DSP techniques in order to design real engineering systems. This edition has been updated to include new topics of increasing importance to industry, as well as revising existing material to ensure currency and maximise clarity. MATLAB-based examples and exercises are now provided with the text and further problems have been added. This practical, introductory text covers most aspects of DSP found in undergraduate electrical, electronic or communications engineering courses. It additionally covers a number of DSP techniques, such as adaptive filtering and multirate processing, which are of particular relevance to those in industry or undertaking advanced studies. Key features

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.

In the mid-1980s I wanted to learn digital signal processing (DSP). As I tried to learn DSP it was the best of times, it was the worst of times. It was a period of understanding, it was a period of confusion, it was the season of Light, it was the season of Darkness, it was the spring of hope, it was the winter of despair, I had everything before me, I had nothing before me, I was approaching enlightenment, I was doomed to ignorance. There were kings of DSP with large jaws and mathematical minds on their thrones in universities bestowing their knowledge in cryptic form. In their ivory castles, it was clearer than crystal to the lords of technology that things were settled forever.

This paper is devoted to determination of operating regimes of distributed electrical customer facilities under the condition of measuring at boundary terminals of a system formed by these objects. The problem is formulated, and a method developed method to solve it is described. The method is based on adaptive digital-signal processing. Experimental testing results for the method and its comparison with the earlier-developed correlation method are presented.

To provide a grounding in key concepts behind digital image and audio processing and synthesis.To develop an understanding of the aesthetic relationship between picture and audio in film, television and other screen media.To provide a structure in which students can experiment creatively with image and sound properties.

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