Title :
Parallel implementation of the adaptive filter under alpha-Stable Distribution Pulse noise
Author :
Zhijin, Zhao ; Baicheng, Fu
Author_Institution :
Sch. of Telecommun., Hangzhou Dianzi Univ., Hangzhou
Abstract :
Since the convergence speed of NLMP algorithm is relatively slow, it can not be used in some situations where the demand of real-time processing is very strict. In this paper, a parallel form of adaptive filter under alpha-Stable Distribution Pulse noise is obtained by introducing parallel FIR filter form based on polynomial decomposition. The simulation results indicate that the parallel form of NLMP algorithm can obtain the Winner solution by iterative calculation. Compared to the traditional NLMP algorithm, the parallel NLMP algorithm has faster convergence speed and higher data throughputs, and it is convenient for real-time signal processing. In addition, this algorithm is simple and feasible.
Keywords :
FIR filters; adaptive filters; iterative methods; signal processing; NLMP algorithm; Winner solution; adaptive filter; alpha-stable distribution pulse noise; iterative calculation; parallel FIR filter; polynomial decomposition; real-time processing; signal processing; Adaptive algorithm; Adaptive filters; Adaptive signal processing; Background noise; Convergence; Iterative algorithms; Least squares approximation; Low-frequency noise; Signal processing algorithms; Statistical distributions; alpha-stable distribution; fractional lower order statistics; normalized least mean p-norm algorithm; parallel structure;
Conference_Titel :
Neural Networks and Signal Processing, 2008 International Conference on
Conference_Location :
Nanjing
Print_ISBN :
978-1-4244-2310-1
Electronic_ISBN :
978-1-4244-2311-8
DOI :
10.1109/ICNNSP.2008.4590374
