This comprehensive text on digital signal processing is designed for undergraduate students of electronics and communication engineering, telecommunication engineering, electronics and instrumentation engineering, and electrical and electronics engineering. The book will also be useful to AMIE and IETE students. <br><br> Written with student-centred, pedagogically driven approach, the text provides a self-contained introduction to the theory of digital signal processing. It covers topics ranging from basic discrete-time signals and systems, realization of discrete-time systems, discrete-time Fourier transform and its use in the analysis of signals, discrete Fourier series to discrete Fourier transform. In addition to this, various design techniques for FIR filters, such as Fourier series method, the window method and the frequency sampling method, architectures for programmable digital signal processors (P-DSPs) and on-chip peripherals are also discussed in detail. All the solved and unsolved problems in this book are designed to illustrate the topics in a clear way. <br><br> <strong>KEY FEATURES</strong><br><br> 1. Numerous worked-out examples in each chapter<br> 2. Short questions with answers help students to prepare for examinations<br> 3. Objective type questions, review questions and unsolved problems at the end of each chapter to test the level of understanding of the subject.
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<strong>Anand Kumar</strong>, PhD, is Principal, College of Engineering, K.L. University, Vijayawada, Andhra Pradesh. Earlier from 2006 to 2011 he served as Director, Sasi Institute of Technology and Engineering, Tadepalligudem, West Godavari District, Andhra Pradesh. From 2000 to 2006 he served as Principal, Sir C.R. Reddy College of Engineering, Eluru, West Godavari District, Andhra Pradesh and as Professor, S.D.M. College of Engineering and Technology, Dharwad, Karnataka from 1983 to 2000. With more than 38 years of teaching experience, he has published five books (All published by PHI Learning). His area of research includes radar signal processing.
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