LQR

a matlab introduction

信道仿真的源文件，用MATLAB编写而成(channel simulation of the source document, prepared using MATLAB)

很经典的一个多核学习程序SimpleMKL，包括对应的文章和demo程序，可以很容易学习和上手MKL的原理和应用！(A classic learning program multicore SimpleMKL, including the corresponding articles and demo program that makes it easy to learn and to use the principles and applications of MKL!)

Raptor结果分析，对实验结果的分析，各种不同类型的曲线描点(Raptor performance analyze)

这是个用Durbin递归求预测误差滤波器和他的输出，是电子所邹谋炎老师给出的例程。(This is a demand by Durbin recursive prediction error filter, and his output is of Electronics Zou Mou-Yan teachers given routine.)

This article presents a new adaptive framework for locally parallel texture modeling.

Vectorized particle swarm optimization

I am uploading a file of Comparative Analysis of Various Image Enhancement Techniques. Plz accept it. Thanks and Regards, salman

matlab俄罗斯方块程序，，非常真实的界面，MATLAB_GUI设计多多学习(Tetris matlab procedures, very real interface, MATLAB_GUI design a lot to learn)

该演示中包含的代码演示如何氡相似的功能，可以用来提高（以及部分）在Connectome电磁图像单元格边界。 请举出下列文件如果您发现此代码有用： Ritwik库马尔，阿梅里奥五雷纳和Hanspeter Pfister说“氡样的特点及其应用Connectomics”，接受，IEEE计算机学会研讨会在生物医学图像分析（MMBIA）2010年数学方法 http://seas.harvard.edu/〜 rkkumar radonLikeFeaturesDemo.m：演示边缘增强用氡相似的功能， getEdgeFeatures.m：助手为高斯函数的二阶导数滤波器 makeBarFilters.m：助手为高斯函数的二阶导数滤波器 sample.png：示例图像在此演示使用(The demo included in the code demonstrates how Radon-Like Features can be used to enhance (and segment) cell boundaries in Connectome EM images. Please cite the following paper if you find this code useful: Ritwik Kumar, Amelio V. Reina & Hanspeter Pfister, “Radon-Like Features and their Application to Connectomics”, accepted, IEEE Computer Society Workshop on Mathematical Methods in Biomedical Image Analysis (MMBIA) 2010 http://seas.harvard.edu/~rkkumar radonLikeFeaturesDemo.m : Demonstrates edge enhancement using Radon-Like Features getEdgeFeatures.m : Helper function for Gaussian Second Derivative Filters makeBarFilters.m : Helper function for Gaussian Second Derivative Filters sample.png : Sample image for use in this demo )