A Recurrent Neural Filter for Adaptive Noise Cancellation

This paper presents a dynamic neural filter for adaptive noise cancellation. The cancellation task is transformed to a system-identification problem, which is tackled by use of the Block-Diagonal Recurrent Neural Network. The filter is applied to a benchmark noise cancellation problem, where a comparative analysis with a series of other dynamic models is conducted, underlining the effectiveness of the proposed filter and its superior performance over its competing rivals. KEY WORDS block-diagonal recurrent networks, adaptive noise cancellation

• Type: Conference
• Year: 2006
• Where: AIA
• Authors: Paris A. Mastorocostas, Dimitris N. Varsamis, Constantinos A. Mastorocostas, Constantinos S. Hilas
• Keywords: Adaptive Noise Cancellation, AIA 2006, AIA 2007, Noise Cancellation, Noise Cancellation Problem