Koki Arauchi, Shohei Maki, Toshiyuki Inoue, A. Tsuchiya, K. Kishine
{"title":"Compact implementation IIR filter in FPGA for noise reduction of sensor signal","authors":"Koki Arauchi, Shohei Maki, Toshiyuki Inoue, A. Tsuchiya, K. Kishine","doi":"10.1109/ISOCC.2017.8368883","DOIUrl":null,"url":null,"abstract":"We have designed an infinite impulse response (IIR) filter aimed at reducing noise in systems that evaluate the status of parasympathetic activity. The IIR filter is implemented in a field programmable gate array (FPGA) with fewer components. As a result, compared with a finite impulse response (FIR) filter, which has equivalent frequency characteristics, there is a 69.7% reduction in processing time and the number of each element in the circuit is reduced by over 85.0%. By applying an IIR filter to the target system, the noise-related errors on the system are reduced while maintaining the same performance as that of an FIR filter.","PeriodicalId":248826,"journal":{"name":"2017 International SoC Design Conference (ISOCC)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 International SoC Design Conference (ISOCC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISOCC.2017.8368883","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
We have designed an infinite impulse response (IIR) filter aimed at reducing noise in systems that evaluate the status of parasympathetic activity. The IIR filter is implemented in a field programmable gate array (FPGA) with fewer components. As a result, compared with a finite impulse response (FIR) filter, which has equivalent frequency characteristics, there is a 69.7% reduction in processing time and the number of each element in the circuit is reduced by over 85.0%. By applying an IIR filter to the target system, the noise-related errors on the system are reduced while maintaining the same performance as that of an FIR filter.