Recursive Source Coding - A Theory for the Practice of Waveform Coding (Paperback, Softcover reprint of the original 1st ed. 1986)

The spreading of digital technology has resulted in a dramatic increase in the demand for data compression (DC) methods. At the same time, the appearance of highly integrated elements has made more and more com plicated algorithms feasible. It is in the fields of speech and image trans mission and the transmission and storage of biological signals (e.g., ECG, Body Surface Mapping) where the demand for DC algorithms is greatest. There is, however, a substantial gap between the theory and the practice of DC: an essentially nonconstructive information theoretical attitude and the attractive mathematics of source coding theory are contrasted with a mixture of ad hoc engineering methods. The classical Shannonian infor mation theory is fundamentally different from the world of practical pro cedures. Theory places great emphasis on block-coding while practice is overwhelmingly dominated by theoretically intractable, mostly differential predictive coding (DPC), algorithms. A dialogue between theory and practice has been hindered by two pro foundly different conceptions of a data source: practice, mostly because of speech compression considerations, favors non stationary models, while the theory deals mostly with stationary ones."

General

Imprint:	Springer-Verlag New York
Country of origin:	United States
Release date:	November 2011
First published:	1986
Authors:	G. Gabor • Z. Gyoerfi
Dimensions:	235 x 155 x 5mm (L x W x T)
Format:	Paperback
Pages:	102
Edition:	Softcover reprint of the original 1st ed. 1986
ISBN-13:	978-1-4613-8651-3
Categories:	Books > Reference & Interdisciplinary > Communication studies > Coding theory & cryptology Books > Science & Mathematics > Mathematics > Applied mathematics > Mathematics for scientists & engineers Books > Professional & Technical > Electronics & communications engineering > Communications engineering / telecommunications > General Books > Computing & IT > Applications of computing > Image processing > General
LSN:	1-4613-8651-9
Barcode:	9781461386513

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