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  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Recursive Source Coding: A Theory for the Practice of Waveform Coding

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

Gabor, G.
Györfi, Z.

Paperback

Technology & EngineeringGeneral ComputersSystem Administration

ISBN10: 1461386519
ISBN13: 9781461386513
Publisher: Springer Nature
Published: Nov 11 2011
Pages: 102
Weight: 0.37
Height: 0.23 Width: 6.14 Depth: 9.21
Language: English
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.

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