Stochastic Gradient Algorithms with a Gradient-Adaptive and Limited Step-Size
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概要
- 論文の詳細を見る
This paper proposes new algorithms for adaptive FIR filters. The proposed algorithms provide both fast convergence and small final misadjustment with an adaptive step size even under an interference to the error. The basic algorithm pays special attention to the interference which contaminates the error. To enhance robustness to the interference, it imposes a special limit on the increment/decrement of the step-size. The limit itself is also varied according to the step-size. The basic algorithm is extended for application to nonstationary signals. Simulation results with white signals show that the final misadjustment is reduced by up to 22 dB under severe observation noise at a negligible expense of the convergence speed. An echo canceler simulation with a real speech signal exhibits its potential for a nonstationary signal.
- 社団法人電子情報通信学会の論文
- 1994-03-25
著者
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Sugiyama Akihiko
Information Technology Research Laboratories Nec Corporation
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Sugiyama Akihiko
Information And Media Processing Research Labs. Nec Corporation:internet Terminal Division Nec Engin
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