DocumentCode :
2046832
Title :
An Efficient MMSE Decoder for Differential Source Coders with Adaptive Quantizer: A Joint Source Channel Coding Perspective
Author :
Asadi, Behzad ; Lahouti, Farshad
Author_Institution :
Sch. of ECE, Univ. of Tehran, Tehran, Iran
fYear :
2007
fDate :
24-27 Nov. 2007
Firstpage :
1187
Lastpage :
1190
Abstract :
A minimum mean square error (MMSE) source decoder for the reconstruction of a signal, encoded using a differential source code with an adaptive quantizer, and transmitted over a noisy channel is proposed. One group of the previous related works on MMSE-based joint source channel decoding aim to reconstruct the codec parameter rather than the original signal, which is suboptimal. The other group that aim to reconstruct the original signal have not considered the adaptive differential encoder. The proposed solution results in a two stage MMSE decoder. The decoder benefits from residual redundancy at the output of the source encoder modeled by a ¿-order Markov model. The results demonstrate the effectiveness of the proposed scheme.
Keywords :
combined source-channel coding; least mean squares methods; signal reconstruction; adaptive quantizer; differential source coders; efficient MMSE decoder; joint source channel coding; minimum mean square error; signal reconstruction; Adaptive signal processing; Channel coding; Codecs; Decoding; Mean square error methods; Modulation coding; Pulse modulation; Random variables; Redundancy; Wireless communication; JSCC (joint source channel coding); MMSE; Markov chain; adaptive differential encoder;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Signal Processing and Communications, 2007. ICSPC 2007. IEEE International Conference on
Conference_Location :
Dubai
Print_ISBN :
978-1-4244-1235-8
Electronic_ISBN :
978-1-4244-1236-5
Type :
conf
DOI :
10.1109/ICSPC.2007.4728537
Filename :
4728537
Link To Document :
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