Description
The Transform and Data Compression Handbook provides an in-depth exploration of mathematical transforms and compression algorithms essential for modern signal processing and data management. Written by experts Kamisetty Ramam Rao and Patrick C. Yip, this authoritative reference covers classical transforms such as Fourier, Wavelet, and Cosine transforms alongside cutting-edge compression methodologies.
The handbook addresses both theoretical foundations and practical implementations, making it invaluable for researchers, engineers, and IT professionals. Topics include lossless and lossy compression techniques, entropy coding, and optimization strategies for various data types. Each chapter features detailed explanations, mathematical formulations, and real-world applications across telecommunications, multimedia, and data storage industries.
Published by CRC Press, this comprehensive resource serves as both a learning tool for students and a reference guide for practicing professionals seeking to understand and implement advanced compression solutions.
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