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"Examining the topic from both a theoretical and practical perspective, this book covers a wide variety of topics in digital communications. Notable features include expression of the probability of error in terms of the Euclidean distance instead of the usual EbIN0 adoption of a new approach to the Viterbi algorithm that does not assume any knowledge of the encoder starting and ending states, discussions on constellation shaping, shell mapping algorithm and root-raised cosine pulse shaping, and a unified approach to continuous phase frequency modulation where M-ary FSK and MSK are special cases. The book is well suited for a senior undergraduate to a graduate level course in communications theory. The accompanying CD-ROM containing C programs on Viterbi algorithm, shell mapping and turbo codes will aid the student in understanding these topics better"

"This textbook provides engineering students with instruction on processing signals encountered in speech, music, and wireless communications using software or hardware by employing basic mathematical methods. The book starts with an overview of signal processing, introducing readers to the field. It goes on to give instruction in converting continuous time signals into digital signals and discusses various methods to process the digital signals, such as filtering. The author uses MATLAB throughout as a user-friendly software tool to perform various digital signal processing algorithms and to simulate real-time systems. Readers learn how to convert analog signals into digital signals; how to process these signals using software or hardware; and how to write algorithms to perform useful operations on the acquired signals such as filtering, detecting digitally modulated signals, correcting channel distortions, etc. Students are also shown how to convert MATLAB codes into firmware codes. Further, students will be able to apply the basic digital signal processing techniques in their workplace. The book is based on the author's popular online course at University of California, San Diego."

"Uses MATLAB[registered] as a computing tool to explore traditional DSP topics and solve problems to gain insight. In this title, practical examples are discussed and useful problems are explored."