An easy demonstration of the optimum value of the adaptation constant in the LMS algorithm [FIR filter theory]

Since the introduction of the LMS algorithm, many variants have been proposed to improve its performance. Doubltless, the most popular is the Normalized LMS, which uses a value for the adaptation constant that assures the fastest convergence. This correspondence shows a new demonstration of the algorithm based on a mathematical approach easier than the usually proposed.