Digital Signal Compression: Principles and Practice

Hardback

Main Details

Title Digital Signal Compression: Principles and Practice
Authors and Contributors      By (author) William A. Pearlman
By (author) Amir Said
Physical Properties
Format:Hardback
Pages:440
Dimensions(mm): Height 254,Width 178
Category/GenreCommunications engineering and telecommunications
Signal processing
ISBN/Barcode 9780521899826
ClassificationsDewey:624.3822
Audience
Professional & Vocational
Illustrations Worked examples or Exercises; 39 Tables, black and white; 2 Plates, unspecified; 39 Halftones, unspecified; 134 Line drawings, unspecified

Publishing Details

Publisher Cambridge University Press
Imprint Cambridge University Press
Publication Date 27 October 2011
Publication Country United Kingdom

Description

With clear and easy-to-understand explanations, this book covers the fundamental concepts and coding methods of signal compression, whilst still retaining technical depth and rigor. It contains a wealth of illustrations, step-by-step descriptions of algorithms, examples and practice problems, which make it an ideal textbook for senior undergraduate and graduate students, as well as a useful self-study tool for researchers and professionals. Principles of lossless compression are covered, as are various entropy coding techniques, including Huffman coding, arithmetic coding and Lempel-Ziv coding. Scalar and vector quantization and trellis coding are thoroughly explained, and a full chapter is devoted to mathematical transformations including the KLT, DCT and wavelet transforms. The workings of transform and subband/wavelet coding systems, including JPEG2000 and SBHP image compression and H.264/AVC video compression, are explained and a unique chapter is provided on set partition coding, shedding new light on SPIHT, SPECK, EZW and related methods.

Author Biography

William A. Pearlman is a Professor in the Electrical, Computer and Systems Engineering Department at the Rensselaer Polytechnic Institute (RPI), where he has been a faculty member since 1979. He has more than 35 years of experience in teaching and researching in the fields of information theory, data compression, digital signal processing and digital communications theory. He is a Fellow of the IEEE and the SPIE, and is the co-inventor of two celebrated image compression algorithms: SPIHT and SPECK. Amir Said is currently a Master Researcher at Hewlett-Packard Laboratories, where he has worked since 1998. His research interests include multimedia communications, coding and information theory, image and video compression, signal processing and optimization, and he has more than 50 publications in these fields. He is co-inventor with Dr Pearlman of the SPIHT image compression algorithm and co-recipient, also with Dr Pearlman, of two Best Paper Awards, one from the IEEE Circuits and Systems Society and the other from the IEEE Signal Processing Society.