International Journal of Computational Vision and Robotics
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Two variable least mean square (LMS) algorithms using the simple time constant concept, variable step size LMS (VS-LMS) and variable length LMS (VL-LMS) algorithms, are proposed. In proposed variable LMS algorithms, the time constant, by which the step size is changed in the VS-LMS algorithm and the filter length is varied in the VL-LMS algorithm, is used as a measure of the error signal convergence. Computer simulation results show that proposed algorithms are simpler but show better performance than conventional variable LMS algorithms