v-blast

Excellent code for robust regression and multivariate dataanalysis

Comparizion of BER for STBC and STTC systems

matlab的初级教程，对初学者很有帮助，内容很全面，每个知识点附带有例子(Matlab of the primary curriculum, useful for beginners, the content is very comprehensive, each knowledge point with examples)

数字信号处理实验作业，用matlab实现电话拨号音的合成与识别，要求具有GUI界面，绘制拨号键的频谱(Digital signal processing experimental work, synthesis and recognition using matlab realize the telephone dial tone, requires a GUI interface, rendering the spectrum dial keys)

SourceCode project in data management system

包含多种噪声谱估计算法用于语音增强，采用的是标准谱减法，主要用于对各种噪声谱估计算法对比，详见readme.txt(Ppls spectral subtraction noise spectrum estimation, mainly used to compare the performance of different noise spectrum estimation algorithms, including Martin s minimum tracking algorithm, Minimum controlled recursive average algorithm (Cohen), variant of Minimum controlled recursive average algorithm, improved Minimum controlled recursive average algorithm (Cohen ), continuous spectral minimum tracking (Doblinger), weighted spectral average (Hirsch & Ehrilcher), connected frequency regions (Sorensen & Andersen). See readme.txt inside)

基于模糊rbf网络的逼近算法及仿真实例源代码，包括学习算法等(rbf)

matlab因子分析的几个例程 包括：基于协方差矩阵或相关矩阵系数矩阵的因子分析 ，与基于样本观测值矩阵的因子分析(matlab factor analysis of several routines include: factor covariance matrix or correlation matrix coefficient matrix-based analysis, and factor sample observations Matrix Analysis)

说明：  SGA（Simple Genetic Algorithm）是一种强大的智能多变量优化算法，它模仿种群繁殖规律来进行优化。本SGA可以优化变量，求最小值,最大值（当把函数倒数也就求最小值） 并且支持浮点编码，grey编码，二进制编码；轮赌法选择，锦标赛选择；单点交叉，均布交叉，浮点交叉；单点变异，浮点变异；调用时Genetic（目标函数名） 使用SGA时，首先需要一个目标函数（像AimFunc.m），该函数返回适应度输入变量为待优化变量x输出为一个适应度。然后修改Genetic.m中可以修改的地方(SGA (Simple Genetic Algorithm) is a powerful smart multi-variable optimization algorithm, which mimics the reproduction of law to be optimized. The SGA can be optimized variables, minimum, maximum, (when the function will last for the minimum) and supports the floating-point encoding, grey code, binary code round of betting method selection, tournament selection single-point crossover, uniform crossover , floating-point crossover single point mutation, floating-point mutation called Genetic (objective function name) the use of SGA, first of all need an objective function (like AimFunc.m), the fitness function returns the input variables to be optimized for the output variable x a fitness. Can be modified and then modify the place Genetic.m)

单边简支梁有限元程序,MATLAB，希望对大家有用，详细介绍见英文和下载文档中的WORD文档(In the provided MATLAB software, we consider the following example shown in the figure. The beam ABC is clamped at the left side and simply supported at the right side. Dimensions are in m, forces in N and loading p in N/m. Also . At x=12m, and . Find the deflections, shear forces and moments.)