Multirate Signal Processing for Communication Systems

Multirate Signal processing can improve system performance and reduce costs in applications ranging from laboratory instruments, cable modems, wireless systems, satellites, Radar, Sonar, and consumer entertainment products. This second edition continues to offer a systematic, clear, and intuitive introduction to multirate signal processing for working engineers and system designers. Significant new material and fresh concepts, including Green Signal Processing techniques have been introduced. The author uses extensive examples and figures to illustrate a wide range of multirate techniques, from basic resampling to leading-edge cascade and multi-stage filter structures. Along the way he draws on extensive research and consulting experience to introduce processing “tricks” shown to maximize performance and efficiency. Coverage includes:• Effect of sampling and resampling in time and frequency domains• Relationships between FIR filter specifications and filter length (# of taps)• Window design and equal-ripple (Remez) design techniques• Square-Root Nyquist and Half-band Filters including new enhancements• Polyphase FIR filters: up-sampling, down-sampling• Polyphase M-path analysis and synthesis channelizers and cascade pairs• Polyphase interpolators for arbitrary sample rate changes• Dyadic half-band filters, quadrature mirror filters• Channel banks for multiple arbitrary bandwidths and center frequencies • Comprehensive coverage of recursive all-pass filters and channelizers, non-uniform and uniform phase, mixed recursive and non-recursive• Comparisons with traditional DSP designs• Extensive applications coverage throughout

Table of Contents:
1 Why Multirate Filters? 2 The Resampling Process 3 Digital Filters 4 Useful Classes of Filters 5 Systems That Use Resampling Filters 6 Polyphase FIR Filters 7 Resampling Filters 8 Half-Band Filters 9 Polyphase Channelizers 10 Cascade Channelizers 11 Recursive Polyphase Filters 12 Cascade Integrator Comb Filters 13 Cascade and Multiple Stage Filter Structures 14 Communication Systems Applications

About the Author :
Professor harris is professor of ECE at University of California San Diego where he teaches and conducts research on Digital Signal Processing and Communication Systems. He formerly taught at SDSU, the home of the endowed fred harris Chair of DSP. He holds 38 patents on digital receiver and DSP technology and lectures throughout the world on DSP applications. He consults for organizations requiring high performance, cost effective DSP solutions. He has written over 275 journal and conference papers, the most well- known being his well cited (8500 citations) 1978 paper “On the use of Windows for Harmonic Analysis with the Discrete Fourier Transform”. In addition to this textbook, he is co-author with Bernard Sklar, of Digital Communications (3rd edition), and has contributed to a number of other DSP and communication textbooks. He became a Fellow of the IEEE in 2003, cited for contributions of DSP to communications systems. In 2006 he received the Software Defined Radio Forum’s “Industry Achievement Award”. He received the DSP-2018 conference’s commemorative plaque with the citation: We wish to recognize and pay tribute to fred harris for his pioneering contributions to digital signal processing algorithmic design and implementation, and his visionary and distinguished service to the Signal Processing Community. He was the Technical and General Chair respectively of the 1990 and 1991 Asilomar Conference on Signals, Systems, and Computers, was Technical Chair of the 2003 Software Defined Radio Conference, of the 2006 Wireless Personal Multimedia Conference, of the DSP-2009 and DSP-2013 Conferences and of the SDR-WinnComm 2015 Conference. The spelling of his name with all lower case letters is a source of distress for typists and spell checkers. A child at heart, he collects toy trains and old slide-rules.