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An l∞ norm based Source Separation Method has recently been introduced [1, 2], with the corresponding subgradient based algorithm that has a simple update rule. In this article, we propose a moving window modification to this algorithm, where instead of a long fixed window, a shorter length moving window is used. The simulation results for different blind source separation setups suggest that a significant...
Blind Source Separation (BSS) is a topic of interest in different fields of information processing with a large span of applications, e.g., in communications, pattern recognition, brain activity monitoring and audio processing. This article reviews some convergence analysis results for parallel BSS algorithms that are used for the simultaneous extraction of sources. The emphasis will be on two major...
In this correspondence, we provide a transient analysis of an affinely constrained mixture method that adaptively combines the outputs of adaptive filters running in parallel on the same task. The affinely constrained mixture is adapted using a stochastic gradient update to minimize the square of the prediction error. Although we specifically carry out the transient analysis for a combination of two...
This paper aims to compare the effect of dynamically controlling the exploration-exploitation trade-off in cellular Genetic Algorithms (cGAs) from two perspectives: first, through lattice reconfiguration while dynamically changing the grid-neighbourhood ratio and thus taking advantage of their inherent structural properties; second, through local selection using a recently developed method known as...
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