matlab--ruilifangzhen

simulation of mimo antenna systems using matlab

本程序给出了最小二乘的ＡＲＭＡ模型的功率谱估计方法(This procedure gives the least squares of the ARMA model of power spectrum estimation methods)

单相光伏发电并网系统simulink仿真模型，能运行(Simulink simulation model of single-phase photovoltaic grid connected system can run)

The code performs the Neighblock wavelet thresholding method for image denoising

一些matlab在力学中辅助分析的应用算例(Matlab assisted analysis in mechanics numerical example)

采用自适应信号处理技术的低成本回波抵消器(Adaptive signal processing techniques echo canceler cost)

卡尔曼滤波器，用simulink建立滤波器模型，并带有.m文件(Kalman filter, filter model with simulink established, and with. M file)

matlab提供使用的全部函数说明和范例指导。全面而便于查询(matlab provides all the functions used in the guidance notes and examples. A comprehensive and easily accessible)

图1为均衡带限信号所引起失真的横向或格型自适应均衡器(其中横向FIR系统长M=11), 系统输入是取值为±1的随机序列，其均值为零；参考信号；信道具有脉冲响应： 式中用来控制信道的幅度失真(W = 2～4, 如取W = 2.9,3.1,3.3,3.5等)，且信道受到均值为零、方差(相当于信噪比为30dB)的高斯白噪声的干扰。试比较基于下列几种算法的自适应均衡器在不同信道失真、不同噪声干扰下的收敛情况(对应于每一种情况,在同一坐标下画出其学习曲线): 1）横向/格-梯型结构LMS算法 2）横向/格-梯型结构RLS算法 并分析其结果。(Figure 1 is a band-limited signal caused balanced horizontal or lattice distortion adaptive equalizer (FIR system in which the lateral length M = 11), the system input is the value of a random sequence of ± 1, mean zero reference signal channel has impulse response: Wherein the amplitude of the distortion for the control channel (W = 2 ~ 4, and so as to take W = 2.9,3.1,3.3,3.5), and subjected to a channel with zero mean and variance (equivalent SNR is 30dB) Gaussian white noise. Compare the following types of algorithm-based adaptive equalizer in a different channel distortion, the convergence of different noise interference (corresponding to each situation, draw their learning curve in the same coordinate): 1) landscape/grid- LMS algorithm ladder structure 2) landscape/grid- RLS algorithm ladder structure And analyze the results.)

用于电力电子系统同步信号检测或故障分析的对称分量法正负序分离(Symmetrical components for the power electronics system synchronization signal detection or failure analysis of positive and negative sequence separation)