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- 一种新的变步长LMS自适应滤波算法，本文通过建立步长因子L与误差信号之间的非线性函数关系,提出了一种新的变步长LMS(Least Mean Square)算法.该算法具有初始阶段和未知系统时变阶段步长自动增大而稳态时步长很小的特点,且克服了S函 数变步长LMS算法(简称SVSLMS算法)在自适应稳态阶段L(n)取值偏大的缺陷.理论分析和计算机仿真结果表明 该算法的性能优于SVSLMS算法. -By building a nonlinear function relationshi
Adaptive-Filtering-Primer-with-MATLAB
- Adaptive Filtering Primer with MATLAB® clearly explains the fundamentals of adaptive filtering supported by numerous examples and computer simulations. The authors introduce discrete-time signal processing, random variables and stochastic process
a
- 阵元失效会破坏拖曳线列阵的幅相分布，导致阵列的旁瓣级出现明显升高，严重影响了阵列的性能。阵元失效条件下 的波束形成是一个非线性的最小平方的优化问题，对其直接求解非常困难。针对这一情况，提出了一种基于遗传算法的阵元 失效校准方法。算法的基本思想是将失效阵元的权重强制为零，并使得阵列的实际响应与期望响应在主瓣区域相匹配，同时 对阵列响应的旁瓣级作出限制-Failed elements will des仃oy the amplitude and phase distribution and
L-5
- Least Mean Square Algorithm
L-6
- Normalised Least Mean-Square Adaptive Filtering
LMS
- 信号处理中最基本的一种算法，它的全称是最小均方算法-Signal processing in the basic algorithm, its full name is the least mean square algorithm
LS_MSE_calc
- calcultes the Least squqres and the minimum mean square error
LMS_test
- Hello everybody,I am MAO,I am studying Least mean square algorithm right now.
LMS
- LMS matlab code least mean square free code for matlab
ofdm_paper1
- Performance Evaluation of an Orthogonal Frequency Division Multiplexing based Wireless Communication System with implementation of Least Mean Square Equalization technique
codes
- Construct least mean square
_L0-Norm-Constraint-LMS-Algorithm
- 用于稀疏系统辨识的L0范约束的最小均方算法原理研究-For sparse system identification of L0 norm constraint of the least mean square algorithm principle is studied
Regularized-LMS
- 归一化的最小均方算法原理及误差分析，LMS入门-Normalized least mean square algorithm principle and error analysis, introduction to LMS
active-noise-control-lms-algo
- active noise control least mean square algo
Equalization-using-LMS-Algorithm
- Desigining an equalization of ANC system using Least mean square algorithm
jnxxx
- 最小二乘回归分析算法，最小均方误差（MMSE）的算法，添加噪声处理。- Least-squares regression analysis algorithm, Minimum mean square error (MMSE) algorithm, Add noise processing.
MMSE Channel Estimator for OFDM Receiver
- 我们基于Jake模型重新推导了新的自相关函数，并基于新的自相关函数提出了一种通用最小均方误差（MMSE）信道估计器。 因此，由于其固有的鲁棒性，所提出的MMSE信道估计器可以被用于各种信道场景。 MMSE信道估计器的性能是通过实践DVB-T标准进行研究的，该标准表明MMSE信道估计器能以低复杂度实现非凡的最小平方误差性能(Based on the Jake model, we derive the new autocorrelation function and propose a univer