{"title":"基于线性预测的扬声器均衡化研究","authors":"Cai Yangsheng, Miao Yuan, Huang Wei, Yang Bolan","doi":"10.1109/ICICE.2017.8479019","DOIUrl":null,"url":null,"abstract":"Linear prediction code (LPC) has been applied not only on speech processing but also loudspeaker equalization. There are shortcomings processing low frequency and overcome by warped frequency. A loudspeaker system has been equalized by LPC and warped-frequency linear prediction (WLPC), three conclusions have been drawn. First, LPC has higher frequency resolution and lower effective frequency with more orders. Secondly, WLPC processes low frequency better than LPC with the same order, and it has some better equalized results with more orders. Thirdly, both methods maybe determine incorrectly the “peak and valley” if orders are not enough and lose optimum equalized results.","PeriodicalId":233396,"journal":{"name":"2017 International Conference on Information, Communication and Engineering (ICICE)","volume":"46 20 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Study on Loudspeaker Equalization with the Linear Prediction\",\"authors\":\"Cai Yangsheng, Miao Yuan, Huang Wei, Yang Bolan\",\"doi\":\"10.1109/ICICE.2017.8479019\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Linear prediction code (LPC) has been applied not only on speech processing but also loudspeaker equalization. There are shortcomings processing low frequency and overcome by warped frequency. A loudspeaker system has been equalized by LPC and warped-frequency linear prediction (WLPC), three conclusions have been drawn. First, LPC has higher frequency resolution and lower effective frequency with more orders. Secondly, WLPC processes low frequency better than LPC with the same order, and it has some better equalized results with more orders. Thirdly, both methods maybe determine incorrectly the “peak and valley” if orders are not enough and lose optimum equalized results.\",\"PeriodicalId\":233396,\"journal\":{\"name\":\"2017 International Conference on Information, Communication and Engineering (ICICE)\",\"volume\":\"46 20 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2017-11-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2017 International Conference on Information, Communication and Engineering (ICICE)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICICE.2017.8479019\",\"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 International Conference on Information, Communication and Engineering (ICICE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICICE.2017.8479019","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Study on Loudspeaker Equalization with the Linear Prediction
Linear prediction code (LPC) has been applied not only on speech processing but also loudspeaker equalization. There are shortcomings processing low frequency and overcome by warped frequency. A loudspeaker system has been equalized by LPC and warped-frequency linear prediction (WLPC), three conclusions have been drawn. First, LPC has higher frequency resolution and lower effective frequency with more orders. Secondly, WLPC processes low frequency better than LPC with the same order, and it has some better equalized results with more orders. Thirdly, both methods maybe determine incorrectly the “peak and valley” if orders are not enough and lose optimum equalized results.