{"title":"基于梯度累积控制误差相关的自适应变步长IIR陷波滤波器","authors":"W. Loedwassana","doi":"10.1109/ecti-con49241.2020.9158316","DOIUrl":null,"url":null,"abstract":"In another way of a variable step-size adaptive algorithm for an adaptive IIR notch filter, it is proposed in this paper. For the proposed algorithm, the step-size parameter will be adapted based on error autocorrelation criterion governed by gradient accumulation function. With such a scheme, the algorithm is insensitive in several SNR input environments in order that it provides high convergent rate in transient phase and low bias level in steady phase. The simulation results have shown that the proposed algorithm has excellent performance in individual SNR environment.","PeriodicalId":371552,"journal":{"name":"2020 17th International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology (ECTI-CON)","volume":"65 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Adaptive IIR Notch Filter with Variable Step Size Plain Gradient Algorithm based on Error Correlation governed by Gradient Accumulation\",\"authors\":\"W. Loedwassana\",\"doi\":\"10.1109/ecti-con49241.2020.9158316\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In another way of a variable step-size adaptive algorithm for an adaptive IIR notch filter, it is proposed in this paper. For the proposed algorithm, the step-size parameter will be adapted based on error autocorrelation criterion governed by gradient accumulation function. With such a scheme, the algorithm is insensitive in several SNR input environments in order that it provides high convergent rate in transient phase and low bias level in steady phase. The simulation results have shown that the proposed algorithm has excellent performance in individual SNR environment.\",\"PeriodicalId\":371552,\"journal\":{\"name\":\"2020 17th International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology (ECTI-CON)\",\"volume\":\"65 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-06-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2020 17th International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology (ECTI-CON)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ecti-con49241.2020.9158316\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 17th International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology (ECTI-CON)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ecti-con49241.2020.9158316","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Adaptive IIR Notch Filter with Variable Step Size Plain Gradient Algorithm based on Error Correlation governed by Gradient Accumulation
In another way of a variable step-size adaptive algorithm for an adaptive IIR notch filter, it is proposed in this paper. For the proposed algorithm, the step-size parameter will be adapted based on error autocorrelation criterion governed by gradient accumulation function. With such a scheme, the algorithm is insensitive in several SNR input environments in order that it provides high convergent rate in transient phase and low bias level in steady phase. The simulation results have shown that the proposed algorithm has excellent performance in individual SNR environment.