In this paper, we propose a new terrestrial television feedback channel with a block size -variable BLMS (Block Least Mean Square, BLMS) equalization algorithm which can balance the conflict of convergence speed and steady stage error in traditional BLMS equalization algorithm by variable block -size.

This paper uses the FBLMS algorithm to suppress the NBI which aims at the limitation of current Loran-C receivers and contrasts this technique with an adaptive notch filter.

Besides the advantages of BLMS algorithm, it improves convergence speed, reduces misadjustment greatly and has better ability to restrain noise.

Performance Comparison of Web Cluster Load Balance Algorithms;

A novel equalization algorithm for high-order QAM system

The effect of step-size factor on the performance of adaptive equalization algorithm is researched in the paper.

The performance of equalization algorithm on different channels is sensitive to the choice of step-size or forgetting factor.

Research of blind equalization algorithm based on fifth–second order normalized cumulant in complex system;

Low complexity blind equalization algorithm based on probability density function;

Research of blind equalization algorithm based on bilinear recurrent neural network;