IIR Adaptive Filter in MATLAB

1. What is adaptive filter in Matlab?
2. What is LMS adaptive filter?
3. What are types of adaptive filters?
4. What is adaptive filtering local noise filter in Matlab?

What is adaptive filter in Matlab?

Adaptive filters are digital filters whose coefficients change with an objective to make the filter converge to an optimal state. The optimization criterion is a cost function, which is most commonly the mean square of the error signal between the output of the adaptive filter and the desired signal.

What is LMS adaptive filter?

Least mean squares (LMS) algorithms are a class of adaptive filter used to mimic a desired filter by finding the filter coefficients that relate to producing the least mean square of the error signal (difference between the desired and the actual signal).

What are types of adaptive filters?

The classical configurations of adaptive filtering are system identification, prediction, noise cancellation, and inverse modeling.

What is adaptive filtering local noise filter in Matlab?

Adaptive filter is performed on the degraded image that contains original image and noise. The mean and variance are the two statistical measures that a local adaptive filter depends with a defined mxn window region.