{"title":"有效地实现线性预测编码算法","authors":"S. Nagarajan, R. Sankar","doi":"10.1109/SECON.1998.673294","DOIUrl":null,"url":null,"abstract":"In linear predictive coding (LPC) analysis, the linear predictors are computed using the classical Levinson-Durbin algorithm. But the Levinson-Durbin algorithm is a processing bottleneck as it involves the addition of inner products in the calculation of the reflection coefficients. This paper develops and reports on modifications to the algorithm used in various speech processing and coding applications for efficient implementations.","PeriodicalId":281991,"journal":{"name":"Proceedings IEEE Southeastcon '98 'Engineering for a New Era'","volume":"55 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1998-04-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"12","resultStr":"{\"title\":\"Efficient implementation of linear predictive coding algorithms\",\"authors\":\"S. Nagarajan, R. Sankar\",\"doi\":\"10.1109/SECON.1998.673294\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In linear predictive coding (LPC) analysis, the linear predictors are computed using the classical Levinson-Durbin algorithm. But the Levinson-Durbin algorithm is a processing bottleneck as it involves the addition of inner products in the calculation of the reflection coefficients. This paper develops and reports on modifications to the algorithm used in various speech processing and coding applications for efficient implementations.\",\"PeriodicalId\":281991,\"journal\":{\"name\":\"Proceedings IEEE Southeastcon '98 'Engineering for a New Era'\",\"volume\":\"55 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1998-04-24\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"12\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings IEEE Southeastcon '98 'Engineering for a New Era'\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/SECON.1998.673294\",\"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 IEEE Southeastcon '98 'Engineering for a New Era'","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SECON.1998.673294","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Efficient implementation of linear predictive coding algorithms
In linear predictive coding (LPC) analysis, the linear predictors are computed using the classical Levinson-Durbin algorithm. But the Levinson-Durbin algorithm is a processing bottleneck as it involves the addition of inner products in the calculation of the reflection coefficients. This paper develops and reports on modifications to the algorithm used in various speech processing and coding applications for efficient implementations.