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Evolutionary algorithm based index assignment algorithm for noisy channel
作者姓名:李天昊  余松煜
摘    要:A globally optimal solution to vector quantization (VQ) index assignment on noisy channel, the evolutionary algorithm based index assignment algorithm (EAIAA), is presented. The algorithm yields a significant reduction in average distortion due to channel errors, over conventional arbitrary index assignment, as confirmed by experimental results over the memoryless binary symmetric channel (BSC) for any bit error.


Evolutionary algorithm based index assignment algorithm for noisy channel
Abstract:A globally optimal solution to vector quantization (VQ) index assignment on noisy channel, the evolutionary algorithm based index assignment algorithm (EAIAA), is presented. The algorithm yields a significant reduction in average distortion due to channel errors, over conventional arbitrary index assignment, as confirmed by experimental results over the memoryless binary symmetric channel (BSC) for any bit error.
Keywords:joint source/channel coding  vector quantization  index assignment  binary symmetric channel  
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