MODIFIED SEQUENTIAL REGRESSION ALGORITHM

In this paper, we propose an algorithm with higher speed at the start and lower misadjustment near the optimum point. The proposed algorithm consists of a matrix that multiplies in sequential regression (SER) algorithm factor and uses a new variable step size that provides a faster convergence for searching weights and output error to optimum point. As a result, it behaves like variable step size LMS (VSLMS) algorithm in terms of convergence speed

کلیدواژه ها:

Misadjustment ، optimum point ، adaptive filters ، sequential regression (SER) ، variable step size ، variable step size LMS (VSLMS