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Convergence, Tracking, and the LMS Algorithm Step SizeConvergence, Tracking, and the LMS Algorithm Step Size

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The convergence and tracking behavior of the LMS algorithm are dependent on the step size parameter applied to the instantaneous gradient. The various performance tradeoffs involved with selecting a step size parameter are discussed. Small step sizes result in small misadjustment, but can have slow convergence and poor tracking performance. Large step sizes can result in unstable iterations.

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