Mmse equalizer wiki

1. What is the difference between LSE and MMSE?
2. What is MMSE filter?
3. What is minimum mean square error filtering?
4. What is MMSE algorithm?

What is the difference between LSE and MMSE?

MMSE is optimal for all realizations of the process while LSE is optimal for the given data itself. This is because MMSE uses ensemble averages (expectation) while LSE uses time average.

What is MMSE filter?

Minimum mean-squared error (MMSE) filtering is a powerful and widely used technique that uses the available data to design an optimum set of filter weights.

What is minimum mean square error filtering?

A minimum-mean-square-error filter is proposed to detect a noisy target in spatially nonoverlapping background noise. In this model, both the background noise that is spatially nonoverlapping with the target and the noise that is additive to the target and the input image are considered.

What is MMSE algorithm?

In statistics and signal processing, a minimum mean square error (MMSE) estimator is an estimation method which minimizes the mean square error (MSE), which is a common measure of estimator quality, of the fitted values of a dependent variable.