自适应滤波仿真，多种LMS算法仿真与应用-adaptive filter, signal processing, LMS algorithm

Where H represents the hermitian transpose. The complex vector of weight adjust the amplitude and phase. The desired beam can be produced by adding together the MMSE weight adaptation with the steepest decent algorithm produces LMS algorithm[7]. For

ADVANTAGE: The main advantage of the NLMS algorithm over the LMS algorithm is the faster convergence for correlated[11] and whitened input and the stableness of the output with the varying range of values independent input data[12]. And to implement