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Fundamentals of Convolutional Coding is unmatched in the field for its accessible analysis of the structural properties of convolutional encoders. Written by two leading authorities in coding and information theory, this fully updated and expanded edition includes two new chapters, "Low-Density Parity-Check Convolutional Codes" and "Iterative Decoding". It also covers distance properties of convolutional codes, tables of good convolutional encoders, and an extensive set of homework problems. This book can be used as a textbook for graduate-level electrical engineering students. It will be of key interest to researchers and engineers of wireless and mobile communications, satellite communication, and data communication.