小波滤波器在音频压缩中的选择

P. Philippe, F. M. D. Saint-Martin, L. Mainard
{"title":"小波滤波器在音频压缩中的选择","authors":"P. Philippe, F. M. D. Saint-Martin, L. Mainard","doi":"10.1109/ICASSP.1995.480413","DOIUrl":null,"url":null,"abstract":"We address the issue of choosing an optimal wavelet packets transform for audio compression. We present a comparison method based on a perceptual approach, which provides an entropic bit-rate for \"transparent\" coding of a given audio signal. The test with different wavelets leads to the conclusion that the most significant synthesis criterion for audio compression is the so-called \"coding gain\", while frequency selectivity, regularity and orthogonality seem less relevant.","PeriodicalId":300119,"journal":{"name":"1995 International Conference on Acoustics, Speech, and Signal Processing","volume":"5 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1995-05-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"9","resultStr":"{\"title\":\"On the choice of wavelet filters for audio compression\",\"authors\":\"P. Philippe, F. M. D. Saint-Martin, L. Mainard\",\"doi\":\"10.1109/ICASSP.1995.480413\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"We address the issue of choosing an optimal wavelet packets transform for audio compression. We present a comparison method based on a perceptual approach, which provides an entropic bit-rate for \\\"transparent\\\" coding of a given audio signal. The test with different wavelets leads to the conclusion that the most significant synthesis criterion for audio compression is the so-called \\\"coding gain\\\", while frequency selectivity, regularity and orthogonality seem less relevant.\",\"PeriodicalId\":300119,\"journal\":{\"name\":\"1995 International Conference on Acoustics, Speech, and Signal Processing\",\"volume\":\"5 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1995-05-09\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"9\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"1995 International Conference on Acoustics, Speech, and Signal Processing\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICASSP.1995.480413\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"1995 International Conference on Acoustics, Speech, and Signal Processing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICASSP.1995.480413","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 9

摘要

我们解决了选择最优小波包变换用于音频压缩的问题。我们提出了一种基于感知方法的比较方法,该方法为给定音频信号的“透明”编码提供了熵比特率。不同小波的测试得出结论,音频压缩最重要的合成标准是所谓的“编码增益”,而频率选择性、规则性和正交性似乎不太相关。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
On the choice of wavelet filters for audio compression
We address the issue of choosing an optimal wavelet packets transform for audio compression. We present a comparison method based on a perceptual approach, which provides an entropic bit-rate for "transparent" coding of a given audio signal. The test with different wavelets leads to the conclusion that the most significant synthesis criterion for audio compression is the so-called "coding gain", while frequency selectivity, regularity and orthogonality seem less relevant.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信