一种新型中耳植入物的小波分频信号处理模块设计

2010 International Conference on Mechanic Automation and Control Engineering Pub Date : 2010-06-26 DOI:10.1109/MACE.2010.5536198

Xiao-feng Min, Houguang Liu, N. Ta, Zhushi Rao

{"title":"一种新型中耳植入物的小波分频信号处理模块设计","authors":"Xiao-feng Min, Houguang Liu, N. Ta, Zhushi Rao","doi":"10.1109/MACE.2010.5536198","DOIUrl":null,"url":null,"abstract":"The wavelet transform separates the input signals into seventeen frequency bands based on Bark frequency scale. and each frequency band is multiplyed with the wavelet coefficients by the gain corresponding to the transform property of the human middle ear system. The results show this algorithm has a good performance of simulating the normal human middle ear","PeriodicalId":6349,"journal":{"name":"2010 International Conference on Mechanic Automation and Control Engineering","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2010-06-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Wavelet frequency-division based signal processing module design for a new type of middle ear implant\",\"authors\":\"Xiao-feng Min, Houguang Liu, N. Ta, Zhushi Rao\",\"doi\":\"10.1109/MACE.2010.5536198\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The wavelet transform separates the input signals into seventeen frequency bands based on Bark frequency scale. and each frequency band is multiplyed with the wavelet coefficients by the gain corresponding to the transform property of the human middle ear system. The results show this algorithm has a good performance of simulating the normal human middle ear\",\"PeriodicalId\":6349,\"journal\":{\"name\":\"2010 International Conference on Mechanic Automation and Control Engineering\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2010-06-26\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2010 International Conference on Mechanic Automation and Control Engineering\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/MACE.2010.5536198\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2010 International Conference on Mechanic Automation and Control Engineering","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/MACE.2010.5536198","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}

引用次数: 0

摘要

小波变换基于巴克频率尺度将输入信号分成17个频带。每个频带与小波系数相乘的增益与人类中耳系统的变换特性相对应。实验结果表明，该算法对正常人体中耳具有较好的模拟效果

本文章由计算机程序翻译，如有差异，请以英文原文为准。

查看原文

微信好友朋友圈 QQ好友复制链接

本刊更多论文

Wavelet frequency-division based signal processing module design for a new type of middle ear implant

The wavelet transform separates the input signals into seventeen frequency bands based on Bark frequency scale. and each frequency band is multiplyed with the wavelet coefficients by the gain corresponding to the transform property of the human middle ear system. The results show this algorithm has a good performance of simulating the normal human middle ear

求助全文

通过发布文献求助，成功后即可免费获取论文全文。去求助

来源期刊

2010 International Conference on Mechanic Automation and Control Engineering

自引率

0.00%

发文量