Title :
Steady-state performance analysis for adaptive filters with error nonlinearities
Author :
Lin, Bin ; He, Rongxi ; Song, Liming ; Wang, Baisuo
Author_Institution :
Coll. of Inf. Eng., Dalian Maritime Univ., Dalian
Abstract :
A unified approach to the steady-state mean square error (MSE) and tracking performance analyses for real and complex adaptive filtes with error nonlinearities is developed. Some general clofied-form analytical expressions for the steady-state performances are given. Our analyses are based on Taylor series expansion and and so-called complex Brandwood-form series expansion (BSE). Under these general explicit expressions, some well-known adaptive filters can be viewed as special cases. In addition, the closed-form analytical expressions for the steady-state performance for real and complex least-mean p-power (LMP) algorithm with different choices of parameter p are also given. A mass of simulations show the accuration of our analyses.
Keywords :
adaptive filters; mean square error methods; Brandwood-form series expansion; Taylor series expression; adaptive filters; error nonlinearities; least-mean p-power algorithm; mean square error; steady-state performance analysis; Adaptive filters; Algorithm design and analysis; Energy conservation; Helium; Least squares approximation; Noise measurement; Performance analysis; Steady-state; Taylor series; Transient analysis; Taylor series expression; adaptive filters; mean-square error; steady-state analysis; tracking performance;
Conference_Titel :
Acoustics, Speech and Signal Processing, 2009. ICASSP 2009. IEEE International Conference on
Conference_Location :
Taipei
Print_ISBN :
978-1-4244-2353-8
Electronic_ISBN :
1520-6149
DOI :
10.1109/ICASSP.2009.4960278
