因LMS算法具有低计算复杂度、在平稳环境中的收敛性好、其均值无偏地收敛到wiener解和利用有限精度实现算法时的稳定性等特性，使LMS算法成为自适应算法中应用最广泛的算法。(Because LMS algorithm has low computational complexity, convergence in stable environments, the mean unbiased converges to the Wiener solution and the finite precision of the stability of the algorithm and other characteristics, the LMS algorithm has become the most widely used algorithm in the adaptive algorithm.)