Title :
Steady-state analysis of the set-membership affine projection algorithm
Author :
Lima, Markus V S ; Diniz, Paulo S R
Author_Institution :
LPS - Signal Process. Lab., Fed. Univ. of Rio de Janeiro, Rio de Janeiro, Brazil
Abstract :
Among the adaptive filtering algorithms the set-membership affine projection (SM-AP) algorithm has the attractive feature of not trading off misadjustment with convergence speed. This paper presents an analysis of the steady-state mean-square error (MSE) of the SM-AP algorithm. Our analysis relies on the energy conservation method and does not assume a specific probability distribution for the input vector. Moreover, since the SM-AP algorithm with a fixed-modulus error-based constraint vector generalizes some important algorithms, such as the SM normalized least-mean-square (SM-NLMS) algorithm, the results can be directly applied to these algorithms. Simulation results confirm the accuracy of our analysis.
Keywords :
adaptive filters; affine transforms; mean square error methods; adaptive filtering algorithms; energy conservation method; fixed modulus error based constraint vector; mean square error; set membership affine projection algorithm; steady state analysis; Adaptive filters; Algorithm design and analysis; Analytical models; Convergence; Energy conservation; Filtering algorithms; Probability distribution; Projection algorithms; Samarium; Steady-state; MSE; SM-AP; energy conservation; steady-state;
Conference_Titel :
Acoustics Speech and Signal Processing (ICASSP), 2010 IEEE International Conference on
Conference_Location :
Dallas, TX
Print_ISBN :
978-1-4244-4295-9
Electronic_ISBN :
1520-6149
DOI :
10.1109/ICASSP.2010.5495836