Howtosignalprocessing
How does LMS algorithm work?
LMS algorithm uses the estimates of the gradient vector from the available data. LMS incorporates an iterative procedure that makes successive corrections to the weight vector in the direction of the negative of the gradient vector which eventually leads to the minimum mean square error.
Is LMS gradient descent?
The least mean square (LMS) algorithm is a type of filter used in machine learning that uses stochastic gradient descent in sophisticated ways – professionals describe it as an adaptive filter that helps to deal with signal processing in various ways.
What is normalized LMS?
The NLMS processing functions accept the input and reference input signals and generate the filter output and error signal. Internal structure of the NLMS adaptive filter. The functions operate on blocks of data and each call to the function processes blockSize samples through the filter.
