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dsp.least.mean.square.algorithm
- 数字信号处理自适应数字滤波器最小均方算法的结构与运算-DSP least mean square algorithm
zishiying
- matlab的各种自适应仿真分析。。自适应信息处理的算法、方案繁多，究其实质可归纳为遵循最小均方误差(Least Mean Square，LMS)准则及最小二乘(Least Square，LS)准则两大类，其他算法大多是这两种算法的演进。-matlab simulation analysis of various adaptive. . Adaptive information processing algorithms, a variety of plans, their essence ca
TrackingofTimeVaryingChannelsUsingTwoStepLMSTypeA
- This paper presents a modified version of the twostep least-mean-square (LMS)-type adaptive algorithm motivated by the work of Gazor. We describe the nonstationary adaptation characteristics of this modified two-step LMS (MG-LMS) algorithm fo
matrix_LMS_noise
- this program tells about the least mean square filter and its performance in minimizing the noise.
LMSnature
- LMS自然梯度算法，在经典的最小均方(LMS)算法中引入非线性函数,得到一种非线性LMS算法.该算法根据LMS算法建立了相应的对照函数,用自然梯度推导出了自适应盲源分离算法-LMS natural gradient algorithm, in the classical least mean square (LMS) nonlinear function in the algorithm, a nonlinear LMS algorithm. The algorithm function is
7-Power-Amplifier-Adaptive-Linearization-Using-Pr
- Quadrature ampliltude modulation has high spectral efficiency but is highly sensitive to power amplifier nonlinearities. It is shown that an adaptive predistorter usig polynomial amplitude and phase predistortion functions can be used to lineariz
LS_CE
- channel estimation using least square
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.
ofdm_paper1
- Performance Evaluation of an Orthogonal Frequency Division Multiplexing based Wireless Communication System with implementation of Least Mean Square Equalization technique
LS
- LS（Least Square，最小二乘法）算法是信道估计算法中最基本的算法之一。在MIMO-OFDM系统中，经常选择LS算法或其改进算法对信道进行估计。利用LS算法设计信道估计器，算法结构简单易于实现，且估计器不需要知道信道中各个收发天线对之间的自相关矩阵和噪声。-LS (further Square, Least Square) algorithm is one of the most basic algorithm of channel estimation algorithm. In M
Channel-Estimation-for-DBLAST-OFDM-Systems
- Abstract—Diagonal Bell Laboratories Layered Space-Time (DBLAST) structure offers a low complexity solution to realize the attractive capacity of Multiple-input and multiple-output (MIMO) systems. In this paper, we apply D-BLAST in orthogonal fr
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