EBMA

EZW法是一個用matlab寫的程式,是植基於小波的影像壓縮轉換(EZW France is using a program written in Matlab, is rooted in wavelet image compression conversion)

LTE and LTE-A uplink simulater

着压缩感知技术的发展,基于压缩感知的图像融合技术研究受到越来越多的重视。针对图像傅里叶变换系数特点,提出了一种双星采样模式下基于高低频重要性度量的压缩传感域图像融合算法。该算法首先通过双星采样模式获得测量值,然后计算高低频区域对应的重要性度量作为融合算子,并对测量进行加权融合,最后通过求解最小全变分优化问题重构融合图像。主客观实验结果表明,该算法优于其他基于傅里叶的方案。(With the development of compressive sensing, the compressive domain image fusion technology attracts more and more attention. In considering the DFT coefficient characteristics, a novel image fusion algorithm employing double-star sampling and salience measure of high-lowfrequency within compression domain is proposed.)

维数约简工具箱源程序及其代码MATLAB(Dimensionality reduction and its source code to MATLAB Toolbox)

delaunary三角剖分，在数据点较小的情况下，运行结果还算客观，但是数据点大于五万时，运行较慢。(Delaunary triangulation, data point in the case of small, the operation results is objective, but the data points is greater than fifty thousand, is running slower.)

针对16阵元的均匀直线阵，使用MVDR算法和DREC两种方法分析方向图性能，DREC法进行特征值分解，大特征值对应的特征向量构成信号子空间。(For 16 array element uniform linear array, eigendecomposed MVDR algorithm using two methods and DREC pattern analysis performance, DREC method, large eigenvalues eigenvectors corresponding signal subspace.)

单神经元自适应控制 snn_adaptive_control(snn_adaptive_control)

说明：  它主要研究的是多因变量对多自变量的回归建模，特别当各变量内部高度线性相关时，用偏最小二乘回归法更有效。另外，偏最小二乘回归较好地解决了样本个数少于变量个数等问题。 偏最小二乘法是集主成分分析、典型相关分析和多元线性回归分析3种分析方法的优点于一身。它与主成分分析法都试图提取出反映数据变异的最大信息，但主成分分析法只考虑一个自变量矩阵，而偏最小二乘法还有一个“响应”矩阵，因此具有预测功能。(It is mainly a result of the study is a multi-variable regression modeling and more independent variables, especially when the internal height of each variable linear correlation, partial least squares regression method is more effective. In addition, partial least squares regression solves the number of samples is less than the number of variables and other issues. Partial least squares method is a set of principal component analysis, canonical correlation analysis and multiple linear regression analysis of the advantages of the three methods in one. It is the principal component analysis are trying to extract the maximum information reflects data variability, but the principal component analysis considers only one independent variable matrix, and partial least squares and a &quot response&quot matrix, predictive capabilities.)

基于混沌扰动算法来解决pso算法早熟问题，并用二者结合来训练灰色预测模型参数(Perturbation algorithm based on chaotic PSO algorithm to solve the early problems and to train with a combination of both gray prediction model parameters)

MATLAB环境下 三相全桥电力电子仿真电路(matlab three phase whole bridge)