ABSTRACT
In this chapter, we present the calibrated least mean-square (LMS) algorithm developed by Widrow and Hoff in 1960. This algorithm is a member of stochastic gradient algorithms, and because of its robustness and low computational complexity, it has been used in a wide spectrum of applications.
