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| Adaptive Generalized Recursive Least p-Norm Filtering Algorithm Based on Minimum Dispersion Criterion |
| Zha Dai-feng; Qiu Tian-shuang |
| School of Electronic and Information Engineering, Dalian University of Technology, Dalian 116024, China |
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Abstract Alpha stable distribution, a generalization of Gaussian, is better for modeling impulsive noises than Gaussian distribution in signal processing. This class of process has no close form of probability density function and finite second order moments. In this paper, a new adaptive generalized recursive least p-norm filtering algorithm is proposed based on SαSG noise model. The simulation experiments show that the proposed new algorithm is more robust than the conventional algorithm.
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Received: 25 April 2005
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2007, Vol. 29 
