کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
410889 679170 2006 9 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Concurrent genetic optimization for joint design of source and channel codes
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر هوش مصنوعی
پیش نمایش صفحه اول مقاله
Concurrent genetic optimization for joint design of source and channel codes
چکیده انگلیسی

A novel algorithm for jointly optimizing source and channel codes is presented in this paper. The algorithm uses the channel-optimized vector quantization (COVQ) for the source code, and rate-punctured convolutional coding (RCPC) for the channel code. The genetic algorithm (GA) is used for the concurrent design of both source and channel codes. The GA enhances the robustness of the rate–distortion performance of the COVQ to the selection of initial codewords. In addition, it reduces the computational time for realizing the unequal error protection scheme best matched to the COVQ. Numerical results show that the algorithm attains near optimal performance while having low computational complexity.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Neurocomputing - Volume 70, Issues 1–3, December 2006, Pages 130–138
نویسندگان
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