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Improved stochastic gradient adaptive filter with gradient adaptivestep size
Authors:Hong Chae Woo
Institution:Sch. of Comput. & Commun. Eng., Taegu Univ., Kyungpook;
Abstract:The performance of a stochastic gradient adaptive filter can be significantly improved by introducing a forgetting factor. The complexity of the original algorithm can also be reduced by using only the signs of error signals and input signals in the gradient adaptive step size computation
Keywords:
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