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作者机构:Taegu Univ Sch Comp & Commun Engn Jinryang Kyungsan Kyungp 712714 South Korea
出 版 物:《ELECTRONICS LETTERS》 (电子学快报)
年 卷 期:1998年第34卷第13期
页 面:1300-1301页
核心收录:
学科分类:0808[工学-电气工程] 0809[工学-电子科学与技术(可授工学、理学学位)] 08[工学]
主 题:original algorithm filtering theory gradient adaptive step size computation adaptive filters gradient adaptive step size input signals Signal processing and detection error signals Probability and statistics signal processing Filters and other networks stochastic systems forgetting factor stochastic gradient adaptive filter
摘 要:The performance of a stochastic gradient adaptive filter can be significantly improved by introducing a forgetting factor. The complexity of the original algorithm can also be reduced by using only the signs of error signals and input signals in the gradient adaptive step size computation.