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A particle swarm optimization-least mean squares (PSO-LMS) algorithm is presented for adapting various classes of filter structures. The LMS algorithm is widely accepted as the preeminent adaptive filtering algorithm because of its speed, efficiency, and provably convergent local search capabilities. However, for multimodal error surfaces, a global search(More)
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