Abbreviated Journal Title
EURASIP J Appl. Signal Process.
INDEPENDENT COMPONENT ANALYSIS; BLIND SIGNAL SEPARATION; COCHANNNEL; INTERFERENCE; CHANGING ENVIRONMENTS; MIXTURE; RECEIVERS; ALGORITHM; Engineering, Electrical & Electronic
The fast fixed-point independent component analysis (ICA) algorithm has been widely used in various applications because of its fast convergence and superior performance. However, in a highly dynamic environment, real-time adaptation is necessary to track the variations of the mixing matrix. In this scenario, the gradient-based online learning algorithm performs better, but its convergence is slow, and depends on a proper choice of convergence factor. This paper develops a gradient-based optimum block adaptive ICA algorithm (OBA/ICA) that combines the advantages of the two algorithms. Simulation results for telecommunication applications indicate that the resulting performance is superior under time-varying conditions, which is particularly useful in mobile communications. Copyright (C) 2006 Hindawi Publishing Corporation. All rights reserved.
Eurasip Journal on Applied Signal Processing
Mikhael, Wasfy B. and Yang, Tianyu, "A gradient-based optimum block adaptation ICA technique for interference suppression in highly dynamic communication channels" (2006). Faculty Bibliography 2000s. 6436.