Desired signal in LMS adaptive filters?

1. What is desired signal in adaptive filter?
2. What is the desired signal in LMS?
3. What is LMS adaptive filter?
4. What are types of adaptive filters?

What is desired signal in adaptive filter?

In noise cancellation, adaptive filters let you remove noise from a signal in real time. Here, the desired signal, the one to clean up, combines noise and desired information. To remove the noise, feed a signal n'(k) to the adaptive filter that is correlated to the noise to be removed from the desired signal.

What is the desired signal in LMS?

The LMS algorithm, may assume the model y(n)=d(n)+w(n) for the (received or measured) data, where d(n) is the desired signal and w(n) is a random noise process.

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.