The transform-domain adaptive filtering algorithm research is summarized,and its performance is analyzed.

The function is simply and easy to applied,it also has small computing quantity,basing on the function a new variable step-size adaptive filtering algorithm is educed.

Varing forgetting factor correlation function adaptive filtering algorithm;

On the basis of Least-Mean-Square(LMS) filtering and Recursive-Least-Square(RLS) filtering,the recently developed adaptive filtering algorithms such as the neural network approach,the QR decomposition approach,the unified model algorithm,the high-order cumulant-based algorithms are extensively reviewed.

The results of the experiment show that all the measures used in the system can function effectively,but the adaptive filtering algorithm is the best.

It takes the MLMS adaptive filter algorithm to restrain the narrow-band interference and uses nonlinear function of ACM filter to implement the nonlinear processing,thus obviously improving the capability of the adaptive filter.

In relation to the classic time-domain adaptive filter algorithm of narrowband interference suppression,the narrowband interference suppression method based on the QR decomposition is a good performance of the new algorithm.