{"title":"一种应用于多分辨率感知音频编码的自适应树搜索算法","authors":"N. G. Prelcic, A. Pena","doi":"10.1109/TFSA.1996.546700","DOIUrl":null,"url":null,"abstract":"Search algorithms for selecting signal decompositions based on the minimization of a cost functional have been proposed in the literature, in addition to several additive and non-additive information costs. We introduce a new cost function and a search algorithm built from a perceptual criterion. Their efficiency is demonstrated with results showing higher quality compressed audio signals than preliminary approaches at similar bit-rates.","PeriodicalId":415923,"journal":{"name":"Proceedings of Third International Symposium on Time-Frequency and Time-Scale Analysis (TFTS-96)","volume":"114 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1996-06-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"7","resultStr":"{\"title\":\"An adaptive tree search algorithm with application to multiresolution based perceptive audio coding\",\"authors\":\"N. G. Prelcic, A. Pena\",\"doi\":\"10.1109/TFSA.1996.546700\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Search algorithms for selecting signal decompositions based on the minimization of a cost functional have been proposed in the literature, in addition to several additive and non-additive information costs. We introduce a new cost function and a search algorithm built from a perceptual criterion. Their efficiency is demonstrated with results showing higher quality compressed audio signals than preliminary approaches at similar bit-rates.\",\"PeriodicalId\":415923,\"journal\":{\"name\":\"Proceedings of Third International Symposium on Time-Frequency and Time-Scale Analysis (TFTS-96)\",\"volume\":\"114 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1996-06-18\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"7\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of Third International Symposium on Time-Frequency and Time-Scale Analysis (TFTS-96)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/TFSA.1996.546700\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of Third International Symposium on Time-Frequency and Time-Scale Analysis (TFTS-96)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/TFSA.1996.546700","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
An adaptive tree search algorithm with application to multiresolution based perceptive audio coding
Search algorithms for selecting signal decompositions based on the minimization of a cost functional have been proposed in the literature, in addition to several additive and non-additive information costs. We introduce a new cost function and a search algorithm built from a perceptual criterion. Their efficiency is demonstrated with results showing higher quality compressed audio signals than preliminary approaches at similar bit-rates.