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A Weighted Average Least p-Norm Algorithm under Alpha Stable Noise Conditions |
Qiu Tian-shuang①; Yang Zhi-chun①; Li Xiao-bing①; Chen Yan-xia② |
①Department of Electronic Engineering, Dalian University of Technology, Dalian 116024, China; ②Department of Medical Inspection, Dalian Medical University, Dalian 116023, China |
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Abstract This paper introduces a new adaptive filtering algorithm under the α-stable noise conditions, which is obtained by minimizing the weighted average p-norm of error function. Two new versions of momentum LMP algorithm can be derived from the proposed one. Computer simulations on the channel equalization under the α-stable noise conditions show that the proposed algorithms provide better estimation performance than those of the existing LMP algorithm.
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Received: 11 July 2005
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