Title :
Design of distributed channel optimized multiple description vector quantizer
Author :
Valipour, Mehrdad ; Lahouti, Farshad
Author_Institution :
Sch. of Electr. & Comput. Eng., Tehran Univ., Tehran
Abstract :
In this paper, a distributed channel optimized multiple description vector quantization (DCMDVQ) scheme is presented. A minimum mean square error decoder, utilizing side information, is proposed for effective reconstruction of multiple descriptions transmitted over noisy channels with packet loss. The DCMDVQ is designed using a deterministic annealing approach. Simulation results indicate a noticeable gain in comparison to classic MDVQ or channel optimized MDVQ, while being only 2 dB away from the rate-distortion bound for multiple descriptions with side information.
Keywords :
least mean squares methods; optimisation; telecommunication channels; vector quantisation; deterministic annealing; distributed channel; minimum mean square error decoder; noisy channels; optimized multiple description vector quantization; Decoding; Design optimization; Laboratories; Mean square error methods; Multimedia communication; Propagation losses; Rate-distortion; Robustness; Simulated annealing; Wireless communication; Channel optimized multiple descriptions; Distributed source coding; Noisy channels with packet loss;
Conference_Titel :
Communications, 2008 24th Biennial Symposium on
Conference_Location :
Kingston, ON
Print_ISBN :
978-1-4244-1945-6
Electronic_ISBN :
978-1-4244-1946-3
DOI :
10.1109/BSC.2008.4563270
