A sub-optimal channel estimation algorithm in orthogonal frequency division multiplexing(OFDM) system was proposed,to reduce the complexity of traditional minimum mean square error(MMSE) channel estimator,and to alleviate the performance deterioration of MMSE estimator due to the mismatch of the estimator-to-channel statistics.

Both channel and echo response can be shortened at random with a single FIR equalizer by following the minimum mean square error rule.

This technique is based on the suboptimal subspace blind minimum mean square error (MMSE) algorithm of multiuser detection.

A multi-user detection(MUD) algorithm for fast frequency hopping multiply access/multilevel frequency shift keying communication systems is proposed,based on minimum mean square error(MMSE).

On the receiver,soft-input soft-output(SISO) channel decoder is used following minimum mean square error(MMSE) soft interference cancellation detector,and the turbo-like idea is used for the iterative detect.

High computational complexity is the main problem of the minimum mean square error(MMSE)soft interference can- cellation(SIC)based multiple-input multiple-output(MIMO)Turbo receiver.

Hough Transform with Parameters Chosen by LMSE Method;

According to the feature that the domain block is in one-to-one correspondence with the least mean square error (LMSE) in fractal coding, a multi-pose-and-expression face retrieval method is proposed in this paper.

Implementation of Adaptive Filter on GPS Receiver Based on LMS Algorithm

By adding the least mean square(LMS)algorithm to track time-varying channel environment,the bit-error-rate(BER)performance of the canceller improves.

Based on the merits of the target’s edge, the LMS classifier is used to correct the predicted outputs at the same time.