{"title":"脑电信号单级滤波与多级滤波系统的比较","authors":"M. Lewandowski, J. Walczak","doi":"10.1109/SPA.2015.7365109","DOIUrl":null,"url":null,"abstract":"The paper presents a method of frequency response comparison of single-level and multi-level EEG filtering systems. The problem is not trivial since internal structures of the systems are different and cannot be compared directly. It has been shown how the multi-level system can be reduced to its single-level equivalent, which makes the two types of systems directly comparable. Next, some amplitude and phase distortion measures have been defined and used to evaluate two EEG filtering systems based on Butterworth IIR filters.","PeriodicalId":423880,"journal":{"name":"2015 Signal Processing: Algorithms, Architectures, Arrangements, and Applications (SPA)","volume":"26 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-12-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":"{\"title\":\"Comparison of single-level and multi-level filtering systems of EEG signal\",\"authors\":\"M. Lewandowski, J. Walczak\",\"doi\":\"10.1109/SPA.2015.7365109\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The paper presents a method of frequency response comparison of single-level and multi-level EEG filtering systems. The problem is not trivial since internal structures of the systems are different and cannot be compared directly. It has been shown how the multi-level system can be reduced to its single-level equivalent, which makes the two types of systems directly comparable. Next, some amplitude and phase distortion measures have been defined and used to evaluate two EEG filtering systems based on Butterworth IIR filters.\",\"PeriodicalId\":423880,\"journal\":{\"name\":\"2015 Signal Processing: Algorithms, Architectures, Arrangements, and Applications (SPA)\",\"volume\":\"26 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2015-12-28\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"4\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2015 Signal Processing: Algorithms, Architectures, Arrangements, and Applications (SPA)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/SPA.2015.7365109\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 Signal Processing: Algorithms, Architectures, Arrangements, and Applications (SPA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SPA.2015.7365109","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Comparison of single-level and multi-level filtering systems of EEG signal
The paper presents a method of frequency response comparison of single-level and multi-level EEG filtering systems. The problem is not trivial since internal structures of the systems are different and cannot be compared directly. It has been shown how the multi-level system can be reduced to its single-level equivalent, which makes the two types of systems directly comparable. Next, some amplitude and phase distortion measures have been defined and used to evaluate two EEG filtering systems based on Butterworth IIR filters.