{"title":"高维自适应矢量量化","authors":"T. Wang, J. Foster","doi":"10.1109/SECON.1992.202394","DOIUrl":null,"url":null,"abstract":"Adaptive vector quantization (AVQ) is presented as a waveform coding system with applications to digital voice transmission. The AVQ coding algorithms were modeled and simulated on a computer. Simulation results of higher dimensions are presented. A 20 min digitized speech was used as the source. Both quantitative and subjective tests were performed to compare the reconstructed speech with the original waveform. The transmission rate chosen was 16 kb/s. The results showed high signal-to-noise-ratio (SNR) performance with relatively low coding complexity.<<ETX>>","PeriodicalId":230446,"journal":{"name":"Proceedings IEEE Southeastcon '92","volume":"48 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1992-04-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"High dimension adaptive vector quantization\",\"authors\":\"T. Wang, J. Foster\",\"doi\":\"10.1109/SECON.1992.202394\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Adaptive vector quantization (AVQ) is presented as a waveform coding system with applications to digital voice transmission. The AVQ coding algorithms were modeled and simulated on a computer. Simulation results of higher dimensions are presented. A 20 min digitized speech was used as the source. Both quantitative and subjective tests were performed to compare the reconstructed speech with the original waveform. The transmission rate chosen was 16 kb/s. The results showed high signal-to-noise-ratio (SNR) performance with relatively low coding complexity.<<ETX>>\",\"PeriodicalId\":230446,\"journal\":{\"name\":\"Proceedings IEEE Southeastcon '92\",\"volume\":\"48 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1992-04-12\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings IEEE Southeastcon '92\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/SECON.1992.202394\",\"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 '92","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SECON.1992.202394","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Adaptive vector quantization (AVQ) is presented as a waveform coding system with applications to digital voice transmission. The AVQ coding algorithms were modeled and simulated on a computer. Simulation results of higher dimensions are presented. A 20 min digitized speech was used as the source. Both quantitative and subjective tests were performed to compare the reconstructed speech with the original waveform. The transmission rate chosen was 16 kb/s. The results showed high signal-to-noise-ratio (SNR) performance with relatively low coding complexity.<>
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