Matlab

LCMV波束形成，线性约束最小方差，两个信号，一个期望信号，一个干扰信号。(LCMV beamformer, LCMV, two signals, a desired signal, an interference signal.)

高速铁路路基沉降是一个复杂的系统过程,涉及不同时期、不同工况,选用单一的预测模型不足以反映路基整体的变形规律.Logistic模型及Verhulst模型的曲线均为S形,可以反映全过程的地基沉降与时间的关系.针对路基填筑期和降水期两个时段利用MATLAB软件编制程序计算模型参数,得到Logistic模型和灰色Verhulst模型,进而求得两者的最优加权组合模型.对比结果表明:在路基填筑期由两者的最优加权组合模型预测得到的结果与实测结果较吻合,拟合精度高于单一模型 而在降水期Verhulst模型的预测值更接近实测值,平均相对误差约为1.75％,拟合精度较高.(High-speed railway subgrade settlement process is a complex system involving different times and in different conditions, the choice of a single forecasting model does not adequately reflect the overall deformation of roadbed. Curve Logistic model and Verhulst models are S-shaped, the whole process can be reflected foundation settlement versus time. against roadbed construction period of two hours and precipitation using MATLAB software programming model parameters, the Logistic model and gray Verhulst model, and then get the optimal model of a weighted combination of the two. comparative results indicate : results and experimental results in the roadbed construction period by the weighted combination of the best of both models predicted than the anastomosis fitting accuracy than a single model precipitation predicted value of Verhulst model closer to the actual value of the average relative error approximately 1.75 fitting accuracy.)

matlab应用指南，讨论如何用多源代码文件来构造一个程序。(matlab guide, discuss how to use multiple source code files to construct a program)

a code written to find the different values of eeg

用自适应滤波的LMS算法抵消掉混合心电信号中 母亲的心电信号(To offset mixed ECG ECG mother LMS algorithm for adaptive filtering)

GPS Scheler Period Simulation at MATLAB

利用SVD_TLS算法进行ARMA功率谱估计的程序(SVD_TLS spectrum estimating program)

用wavedec2()函数对b1,b2两幅图像进行小波分解, 采用’db1’小波,分解到第三级 融合两幅图像。(With wavedec2 () function b1, b2 the two images were decomposed using ' db1' wavelet decomposition to the third level fusion of two images.)

径向基函数（RBF）神经网络在分类中的应用(Radial Basis Function (RBF) neural network classification)

该pdf详细描述了RLS自适应滤波器的原理以及其算法实现(Pdf detailed description of the RLS adaptive filter theory and its algorithm)