Search - lms algorithm

Search - lms algorithm - List

[Compress-Decompress algrithms] adaptive_all_in_one DL : 0: 自适应滤波仿真，多种LMS算法仿真与应用-adaptive filter, signal processing, LMS algorithm
Date : 2026-01-01 Size : 7kb User :
[Compress-Decompress algrithms] curvedde DL : 0: 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 each new samples the weight vectors are updated, this process is called sample by sample techniques. Because of the successive correction the gradient vector leads to the MMSE. -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 each new samples the weight vectors are updated, this process is called sample by sample techniques. Because of the successive correction the gradient vector leads to the MMSE.
Date : 2026-01-01 Size : 10kb User : emman
[Compress-Decompress algrithms] recentcurve DL : 0: 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 a shift input of data the NLMS require additional addition, Multiplication and division over the LMS algorithm.
Date : 2026-01-01 Size : 94kb User : emman