Title :
An Affine Projection Algorithm With Dynamic Selection of Input Vectors
Author :
Kong, Se-Jin ; Hwang, Kyu-Young ; Song, Woo-Jin
Author_Institution :
Pohang Univ. of Sci. & Technol., Pohang
Abstract :
We present a novel affine projection algorithm (APA) which dynamically selects input vectors in order to improve convergence performance. The optimum selection of the input vectors is derived by the largest decrease of the mean-square deviation. The experimental results show that the proposed algorithm has a fast convergence speed and a small steady-state error compared to the conventional APA. In addition, the proposed algorithm retains a low overall computational complexity.
Keywords :
adaptive filters; convergence of numerical methods; iterative methods; vectors; affine projection algorithm; dynamic selection of input vectors; fast convergence speed; mean-square deviation; steady-state error; Adaptive filters; Computational complexity; Convergence; Equations; Helium; Least squares approximation; Projection algorithms; Signal processing algorithms; Steady-state; Vectors; Affine projection algorithm (APA); dynamic selection of input vectors;
Journal_Title :
Signal Processing Letters, IEEE
DOI :
10.1109/LSP.2007.891325
