José E. G. Medeiros, Lucas A. P. Chrisostomo, Gabriela Meira, Yuri C. R. Toledo, Matheus Pimenta, S. Haddad
{"title":"A fully analog low-power wavelet-based Hearing Aid Front-end","authors":"José E. G. Medeiros, Lucas A. P. Chrisostomo, Gabriela Meira, Yuri C. R. Toledo, Matheus Pimenta, S. Haddad","doi":"10.1109/BioCAS.2013.6679684","DOIUrl":null,"url":null,"abstract":"This paper presents a new low-power Hearing Aid Front-end based on an analog wavelet transform signal processing. The system consists of an analog wavelet filter bank and an Automatic Gain Control (AGC), with a new topology for the decision logic and a new circuit design for the Programable Gain Amplifier (PGA). From simulation results, using a 0.18um CMOS technology, the proposed circuit shows very good performance with respect to Signal-to-Noise Ratio (SNR) and loudness behavior in an ultra low-power environment.","PeriodicalId":344317,"journal":{"name":"2013 IEEE Biomedical Circuits and Systems Conference (BioCAS)","volume":"61 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2013-12-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2013 IEEE Biomedical Circuits and Systems Conference (BioCAS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/BioCAS.2013.6679684","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 4
Abstract
This paper presents a new low-power Hearing Aid Front-end based on an analog wavelet transform signal processing. The system consists of an analog wavelet filter bank and an Automatic Gain Control (AGC), with a new topology for the decision logic and a new circuit design for the Programable Gain Amplifier (PGA). From simulation results, using a 0.18um CMOS technology, the proposed circuit shows very good performance with respect to Signal-to-Noise Ratio (SNR) and loudness behavior in an ultra low-power environment.
京公网安备 11010802042870号
京ICP备2023020795号-1
分享
求助内容：
应助结果提醒方式：
扫码关注我们
