| Paper: | SPCOM-P3.6 | ||
| Session: | Joint Source/Channel Coding and Quantization | ||
| Time: | Wednesday, May 19, 09:30 - 11:30 | ||
| Presentation: | Poster | ||
| Topic: | Signal Processing for Communications: Joint Source-Channel Coding | ||
| Title: | RECONSTRUCTION OF MULTI-STAGE VECTOR QUANTIZED SOURCES OVER NOISY CHANNELS - APPLICATIONS TO MELP CODEC | ||
| Authors: | Farshad Lahouti; University of Waterloo | ||
| Amir K. Khandani; University of Waterloo | |||
| Abstract: | Design of source decoders that employ the residual redundancy at the source coder output is an interesting research direction in the joint source channel coding framework. Such decoders are expected to replace the traditionally heuristic error concealment units, that are elements of most multimedia communication systems. In this work, we consider the reconstruction of signals encoded with a Multi-Stage Vector Quantizer and transmitted over a noisy channel. The MSVQ maintains a moderate complexity and, due to its successive refinement feature, is also used for the design of layered (progressive) source codes. An approximate MMSE source decoder for MSVQ is presented and its application to reconstruction of LPC parameters in MELP is analyzed. Numerical results demonstrates the effectiveness of the proposed schemes. | ||
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