Signal Processing for Digital Communications (Artech House Signal Processing Library)

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Digital signal processing is a fundamental aspect of communications engineering that all practitioners need to understand. Engineers are looking for guidance in system design, simulation, analysis, and applications to help them tackle their projects with greater speed and efficiency. Now, this critical knowledge can be found in this single, exhaustive resource. Based on the author's extensive research and industry experience, the book presents an up-to-date and comprehensive treatment of all aspects of digital, multirate, adaptive, and statistical signal processing technologies. The book offers detailed examples and describes numerous time-saving algorithms and their implementation methods. Packed with over 1520 equations and more than 200 illustrations, this invaluable reference helps today's communications engineers master a wide range of key topics that are essential to their work in the field.

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George J. Miao is a president of Sageco Technologies, LLC. He specializes in digital signal processing, multirate, adaptive and statistical signal processing theory with applications in wireless/wireline communication systems design, simulation modeling, and architecture. His extensive professional experience includes work for Motorola, Fujitsu Network Communications, Hewlett-Packard, Intel, and Lockheed Martin. He is coauthor of "Digital Signal Processing and Statistical Classification" (Artech House, 2002), for which he received the 2003 IEEE New Jersey Coast Section Technical Accomplishment Award. He has published many articles in journals and conferences, and holds US patents and patents pending in wireless, wireline and UWB communications. He holds an M.Sc. from Columbia University and a Ph.D. from the Georgia Institute of Technology, both in electrical engineering.