DocumentCode :
2054816
Title :
Source coding with feedforward: Gaussian sources
Author :
Pradhan, S. Sandeep
Author_Institution :
Michigan Univ., Ann Arbor, MI, USA
fYear :
2004
fDate :
27 June-2 July 2004
Firstpage :
212
Abstract :
This paper describes the source coding of the information signals with feedforward Gaussian sources. A stationary memoryless Gaussian source with zero-mean and variance, and with mean squared error as the distortion measure, gives a deterministic scheme that achieves the optimal rate-distortion bound using simple uniform scalar quantizers. To reconstruct source codes, the decoder uses the optimal Shannon rate-distortion function and achieves channel coding with feedback.
Keywords :
Gaussian processes; channel coding; distortion measurement; feedforward; mean square error methods; memoryless systems; quantisation (signal); rate distortion theory; source coding; Shannon rate-distortion function; channel coding; code reconstruction; decoder; distortion measurement; feedforward; information signal; mean squared error; source coding; stationary memoryless Gaussian source; uniform scalar quantizer; variance; zero-mean; Decoding; Delay; Distortion measurement; Electronic mail; Encoding; Length measurement; Probability distribution; Rate-distortion; Seismic waves; Source coding;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information Theory, 2004. ISIT 2004. Proceedings. International Symposium on
Print_ISBN :
0-7803-8280-3
Type :
conf
DOI :
10.1109/ISIT.2004.1365249
Filename :
1365249
Link To Document :
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