{"title":"多通道音频压缩的率失真优化","authors":"Minyue Li, J. Skoglund, W. Kleijn","doi":"10.1109/WASPAA.2013.6701839","DOIUrl":null,"url":null,"abstract":"Multichannel audio coding is studied from a rate-distortion theoretical viewpoint. Two practical coding techniques, both of which are based on rate-distortion optimization, are also proposed. The first technique decorrelates a multichannel signal hierarchically using elementary unitary transforms. The second method rearranges a multichannel signal into sub-signals and compresses them at optimized bit rates using a conventional codec. Both objective and subjective tests were conducted to illustrate the efficiency of the methods.","PeriodicalId":341888,"journal":{"name":"2013 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics","volume":"23 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2013-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Rate-distortion optimization for multichannel audio compression\",\"authors\":\"Minyue Li, J. Skoglund, W. Kleijn\",\"doi\":\"10.1109/WASPAA.2013.6701839\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Multichannel audio coding is studied from a rate-distortion theoretical viewpoint. Two practical coding techniques, both of which are based on rate-distortion optimization, are also proposed. The first technique decorrelates a multichannel signal hierarchically using elementary unitary transforms. The second method rearranges a multichannel signal into sub-signals and compresses them at optimized bit rates using a conventional codec. Both objective and subjective tests were conducted to illustrate the efficiency of the methods.\",\"PeriodicalId\":341888,\"journal\":{\"name\":\"2013 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics\",\"volume\":\"23 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2013-10-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2013 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/WASPAA.2013.6701839\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2013 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/WASPAA.2013.6701839","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Rate-distortion optimization for multichannel audio compression
Multichannel audio coding is studied from a rate-distortion theoretical viewpoint. Two practical coding techniques, both of which are based on rate-distortion optimization, are also proposed. The first technique decorrelates a multichannel signal hierarchically using elementary unitary transforms. The second method rearranges a multichannel signal into sub-signals and compresses them at optimized bit rates using a conventional codec. Both objective and subjective tests were conducted to illustrate the efficiency of the methods.