CMA

说明：  分别采用感知机算法、最小平方误差算法、线性SVM算法设计分类器，分别画出决策面，并比较性能。(Perceptron algorithm were used, the least square error algorithm, linear SVM classifier algorithm, respectively, making face paint, and compare performance.)

ML法能够很好的估计信号的信噪比,MIMO OFDM matlab仿真,欢迎大家下载学习。( ML estimation method can be a good signal to noise ratio, MIMO OFDM matlab simulation, Welcome to download the study.)

matlab code for modelling low pass filters

说明：  用MA TLAB 语言及MA TLAB 语言编制的优化工具箱进行优化设计具有语言简单、函数丰富、用法比 较灵活、编程效率高等特点. 本文对遗传算法和基于MA TLAB 的遗传算法优化工具箱(GAO T ) 作了简要的介 绍、分析了优化工具函数, 并结合非线性、多峰值函数问题的优化实例, 说明了遗传算法是一种具有良好的全局 寻优性能的优化方法.(MA TLAB with language and language of the MA TLAB optimization toolbox to optimize the design of the language is simple, function-rich, and using more flexible programming and high efficiency. In this paper, genetic algorithm and MA TLAB based on genetic algorithm optimization toolbox (GAO T ) gave a brief introduction, an analysis of function optimization tool, combined with non-linear, multimodal function optimization problem examples to illustrate the genetic algorithm is a good global optimization method to optimize performance.)

求数组中最大的一个元素，给出了最简单的一个实例，应运时之需要改变数字即可(calculator the max one)

基于matlab简单图像处理系统中用图像平均的方法消除噪声(Matlab eliminate noise using a simple image processing system based on the method of averaging the image)

source code for OCR in matlab using NN

一级倒立摆的模糊控制，用融合函数的思想，基于最优控制。通过simulink仿真。(An inverted pendulum fuzzy control, with the idea of integration of functions, based on the optimal control. Through the simulink simulation.)

The release of the Kinect for Windows sensor and software development kit (SDK) for commercial applications opens up the limitless possibilities offered by Kinect technology. Together, the hardware and software offer a superior development platform for Windows and a higher quality, better performing experience for end users.

多功能读入MATLAB的函数，可定义其参数(A signal object contains signal data, that is a collection of real or complex valued samples. A signal can be one or multi-dimensional. The number of dimensions is the number of axes that are needed to describe the the data.)