elm

blast检测方案，比价了ZF,MMSE,ZF-SIC,MMSE-SIC四种检测算法的性能(blast testing program, the price ZF, MMSE, ZF-SIC, MMSE-SIC detection algorithm in the performance of four)

横模算法的程序，很综合。对书上的算法有很到的体现。具有很好的指导意义。(Transverse mode algorithm procedure, it is comprehensive. The algorithm of the book is to reflect. Has a good guide.)

基于正则化转置的LDA matlab源代码，可以应用在人脸识别中，详细说明见readme(based Regularization home to the LDA Matlab source code, can be applied to face recognition, detailed explanation see readme)

hysys and matlab link3

matlab在时间序列中的应用，很全，希望能对大家有用(matlab in the application of time series, it is all in the hope that useful)

六自由度机械手误差分析 MATLAB程序 主要使用matlab robotics toolbox工具箱(Six degrees of freedom manipulator error analysis program mainly use MATLAB toolbox matlab robotics toolbox)

Solve the standard basis pursuit program using a primal-dual algorithm,The key code of GBP is provided by Justin Romberg Reference: E. Candes and J. Romberg, “l1-Magic: Recovery of Sparse Signals via Convex Programming,” 2005.

基于能量检测的频谱感知.由于实际信道中的多径和阴影效应，单个认知用户频谱感知的性能受到影响，因此需要靠不同用户间的协同频谱感知来对抗多径和阴影效应。本设计要求在文中采用一种协作机制，即两用户进行协作频谱感知，提高主用户的检测率，减少检测时间，并且得到捷变增益。要求给出仿真结果。(spectrum sensing in cognitive radio based on energy detection.As the channels in diameter and shadow, not a single user spectrum of capabilities and therefore need different between a user to the spectrum is perceived as more and the effect. this design for the use of a coordination mechanism, the two users collaborate spectrum, the detection rate of increase and decrease the test of time and get a change requires immediate gain. some emulation. )

efficient LBP Local binary patterns (LBP) is a type of feature used for classification in computer vision. LBP is the particular case of the Texture Spectrum model proposed in 1990.[1][2] LBP was first described in 1994.[3][4] It has since been found to be a powerful feature for texture classification it has further been determined that when LBP is combined with the Histogram of oriented gradients (HOG) descriptor, it improves the detection performance considerably on some dataset

对于初学matlab 的人来说 ，这些小程序很基础，但是很有用，对以后大的程序有很大的帮助。(For beginners matlab people, these small program is very basic, but useful for future large program of great help.)