wmicGetHardwareInfos

波形信道的仿真，主要是多径衰落包括了散射模型和离散模型(Channel waveform simulation, mainly multipath fading include scattering model and the discrete model)

不调用库函数实现图像灰度的压缩以及均衡的matlab小程序(Call the library functions are not compressed, and gray balance of a small program matlab)

MATLAB软件在CDMA通信系统仿真中的应用(MATLAB software in the CDMA communication system Simulation)

In machine learning, support vector machines (SVMs, also support vector networks[1]) are supervised learning models with associated learning algorithms that analyze data and recognize patterns, used for classification and regression analysis. Given a set of training examples, each marked as belonging to one of two categories, an SVM training algorithm builds a model that assigns new examples into one category or the other, making it a non-probabilistic binary linear classifier. An SVM model is a representation of the examples as points in space, mapped so that the examples of the separate categories are divided by a clear gap that is as wide as possible. New examples are then mapped into that same space and predicted to belong to a category based on which side of the gap they fall on.

SOMP是压缩感知中的子空间重构算法，这里包含一个源码和一片关于SOMP的文章，供参考(compressive sensing_SOMP)

ann matlab neural network

主成分分析(PCA)是一个数学的过程,它使用一个正交变换转换成一组观测到的可能相关的因素形成一套价值观的独立变量称为主成分。主成分的数量小于或等于原始变量的数目 (Principal component analysis (PCA) is a mathematical procedure that uses an orthogonal transformation to convert a set of observations of possibly correlated variables into a set of values of uncorrelated variables called principal components. The number of principal components is less than or equal to the number of original variables)

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AeroSim模块，提供了完整的六自由度模型，方便飞行器的建模仿真，不错的simulink工具包。(The AeroSim module provides six degree of freedom model complete, modeling and simulation convenient vehicle, good Simulink kit.)

GPC Controller Simulation with RLS algorithm for the Parametric Identification.