GRADIENT ASCENT INDEPENDENT COMPONENT ANALYSIS ALGORITHM FOR TELECOMMUNICATION SIGNALS
Zahooruddin1*, Muhammad Altaf1, Ayaz Ahmad1, Farooq Alam1
ABSTRACT
Independent Component Analysis (ICA) algorithm is normallused for un-mixing and feature extraction of the fixed
input block lengths. In case of varying block lengths re-adjustment of the maximum number of iterations and the
step size parameter is required. In this paper, we introduced an Adaptive Step size Gradient Ascent ICA (AS-GAICA)
technique for varying block length that can also controls the maximum number of iterations adaptively. The performance
of the proposed technique is compared with Fast-ICA and Optimum Block Adaptation ICA (OBAICA) for
telecommunication signals. Simulation results show that the proposed scheme outperforms the Fast-ICA and OBAICA
algorithms.
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