Introduction - If you have any usage issues, please Google them yourself
In this paper , we discuss and analyze the variable step2size adaptive algorithm(VSSLMS) ,in which the descent
of it s convergence speed leads to the reduction of performance when input signals are heavily correlated . As a result , we
propose an uncorrelated variable step2size normalized LMS adaptive algorithm. Due to the principle of correlation ,the algo2
rithm can achieve good performance. The simulations agree to the theoretical analysis.