Recursive Source Coding: A Theory for the Practice of Waveform Coding

By G. Gabor, Z. Gy Rfi, Z. Györfi

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.

• Format: Paperback
• Language: English
• ISBN: 1461386519
• ISBN13: 9781461386513
• Release Date: November 2011
• Publisher: Springer
• Length: 102 Pages
• Weight: 0.37 lbs.
• Dimensions: 0.2" x 6.1" x 9.2"