Improved Independent Component Analysis with Reference Algorithms
Zhao Li-qua · Telecommunication Engineering · 2014
To overcome the problem that independent component analysis with reference( ICA-R) has slower convergence speed,two improved independent component analysis with reference algorithms with faster convergence speed are proposed. The new algorithms use the method of pre-whitening to process the observed signals to avoid inverse operation of the matrix,and decrease computational time. Secondly,two modified Newton iterative methods with third order convergence are adopted to optimize the cost function of independent component analysis with reference,and deduce the improved independent component analysis with reference. Simulation results prove the efficiency of this new algorithm,and compared with the original algorithm and the other improved algorithm,the convergence speed of the proposed algorithms raises by 1. 7 times and 1 time respectively with smaller error.