Title :
Adaptive Regularization Parameter for Pseudo Affine Projection Algorithm
Author :
Ban, Sung Jun ; Lee, Chang Woo ; Kim, Sang Woo
Author_Institution :
Div. of Electr. & Comput. Eng., Pohang Univ. of Sci. & Technol. (POSTECH), Pohang
fDate :
5/1/2009 12:00:00 AM
Abstract :
An adaptive regularized affine projection (AR-AP) algorithm has recently been proposed in order to achieve good misalignment performance. However, the algorithm requires high computational complexity. To overcome this problem, we propose an adaptive regularized pseudo affine projection (AR-PAP) algorithm. Additionally, we derive the lower bound of the regularization parameter in order to guarantee the stability of the AR-PAP algorithm. Simulation results show that the performance of the proposed algorithm is better than that of the AR-AP algorithm despite its significantly lower complexity.
Keywords :
adaptive filters; affine transforms; adaptive regularization parameter; adaptive regularized affine projection algorithm; pseudo affine projection algorithm; Computational complexity; Computational modeling; Data preprocessing; Equations; Gaussian processes; Helium; Information technology; Noise measurement; Projection algorithms; Stability; Affine projection (AP) algorithm; computational complexity; misalignment; pseudo affine projection (PAP) algorithm;
Journal_Title :
Signal Processing Letters, IEEE
DOI :
10.1109/LSP.2009.2016479