{"title":"有损音频编码中心理声学分析对小波域的适应","authors":"G. Rogozinsky, Daniel R. Fadeyev, D. Podolsky","doi":"10.1109/SINKHROINFO.2017.7997551","DOIUrl":null,"url":null,"abstract":"The paper presents the authors' current research in adaptation of the MPEG AAC Psychoacoustic Model to the Discrete Wavelet Packet coding algorithm. We discovered the complex distribution of wavelet quantization noise across the audio spectrum due to significant cross-band aliasing. We also obtained the wavelet quantization noise function related to the analysis bands of MPEG AAC Psychoacoustic Model. The described approach provided the quantization matrix, which can be used for exact estimation of overall quantization noise during lossy coding.","PeriodicalId":372303,"journal":{"name":"2017 Systems of Signal Synchronization, Generating and Processing in Telecommunications (SINKHROINFO)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Adaptation of Psychoacoustic analysis to wavelet domain in lossy audio coding\",\"authors\":\"G. Rogozinsky, Daniel R. Fadeyev, D. Podolsky\",\"doi\":\"10.1109/SINKHROINFO.2017.7997551\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The paper presents the authors' current research in adaptation of the MPEG AAC Psychoacoustic Model to the Discrete Wavelet Packet coding algorithm. We discovered the complex distribution of wavelet quantization noise across the audio spectrum due to significant cross-band aliasing. We also obtained the wavelet quantization noise function related to the analysis bands of MPEG AAC Psychoacoustic Model. The described approach provided the quantization matrix, which can be used for exact estimation of overall quantization noise during lossy coding.\",\"PeriodicalId\":372303,\"journal\":{\"name\":\"2017 Systems of Signal Synchronization, Generating and Processing in Telecommunications (SINKHROINFO)\",\"volume\":\"6 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2017-07-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2017 Systems of Signal Synchronization, Generating and Processing in Telecommunications (SINKHROINFO)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/SINKHROINFO.2017.7997551\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 Systems of Signal Synchronization, Generating and Processing in Telecommunications (SINKHROINFO)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SINKHROINFO.2017.7997551","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Adaptation of Psychoacoustic analysis to wavelet domain in lossy audio coding
The paper presents the authors' current research in adaptation of the MPEG AAC Psychoacoustic Model to the Discrete Wavelet Packet coding algorithm. We discovered the complex distribution of wavelet quantization noise across the audio spectrum due to significant cross-band aliasing. We also obtained the wavelet quantization noise function related to the analysis bands of MPEG AAC Psychoacoustic Model. The described approach provided the quantization matrix, which can be used for exact estimation of overall quantization noise during lossy coding.