چکیده مقاله
This paper presents an improved continuous mixed p norm ICMPN algorithm for sparse system identification under impulsive noise environment The cost function of continuous mixed p norm isregularized by a soft 0 l norm term for increasing the convergence rate or equivalently decreasing the steady state error Simulation results show the effectiveness of the proposed algorithm in comparison to several of its well known counterparts
کلیدواژهها
نویسندگان
Hadi Zayyani
Department of Electrical and Computer Engineering Qom University of Technology Qom, Iran
Mehdi Bekrani
Department of Electrical and Computer Engineering Qom University of Technology Qom, Iran
شیوه ارجاع
Zayyani, Hadi and Bekrani, Mehdi,1394,An Improved Continuous Mixed p -norm Adaptive Algorithm for Sparse System Identification,International Conference on New Research Findings in Electrical Engineering and Computer Science,Tehran
ارائهشده در
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