Sentence examples for minimum mean square from inspiring English sources

To solve this problem we convert the QoS constraints into Minimum Mean Square Error (MMSE) constraints.

The optimal controller for this process is the well-known minimum mean square error (MMSE) controller.

Linear minimum mean square error (MMSE) and least square (LS) channel estimator are developed.

With the later scheme the sources are jointly decoded with minimum mean square error (MMSE) estimation at the receiver.

Existing MIMO CQI algorithms are mostly designed for sub-optimal linear symbol detectors such as minimum mean square error (MMSE).

Both the frequency-domain channel estimation and equalization are designed by the linear minimum mean square error criterion.

The Wiener filter is the well-known solution for linear minimum mean square error (LMMSE) signal estimation.

Demosaicing error is minimized by the directional linear minimum mean square-error estimation technique [25].

This leads to the time-varying minimum mean-square error (MMSE MLTT.

The design is based on minimum mean-square-error criterion, and both uplink and downlink scenarios are considered.

This paper presents adaptive bidirectional minimum mean-square error parameter estimation algorithms for fast-fading channels.