基于遗传算法的WAV文件最优编码算法的开发

M. Belodedov, Roman V. Fonkants, R. R. Safin
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引用次数: 1

摘要

本科学工作的目的是开发一种利用遗传算法对WAV文件进行优化编码的算法,该算法同时结合了可接受的编码速度和比经典编码方法更高的音频数据压缩比。本文讨论了WAV文件的结构;研究了霍夫曼编码的原理,描述了利用该算法对WAV文件进行压缩的过程;在遗传算法的基础上,开发了WAV文件的最优编码算法并进行了测试;根据所得结果,对所做的工作进行了总结。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Development of an Algorithm for Optimal Encoding of WAV Files Using Genetic Algorithms
The purpose of this scientific work is to develop an algorithm for optimal encoding of WAV files using genetic algorithms, which simultaneously combines an acceptable encoding speed and a higher compression ratio of audio data than classical encoding methods. The article discusses the structure of WAV files; the principle of Huffman coding has been studied, and the process of compressing WAV files using this algorithm has been described; on the basis of Huffman coding with the help of genetic algorithms, an algorithm for optimal encoding of WAV files was developed and tested; based on the obtained results, conclusions are drawn about the work done.
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