MATLAB

基于空间平滑技术的修正的music算法，第一个程序是正常的，第二个是修正的，其中，入射信号的方向已知(Modified music algorithm based on spatial smoothing techniques, the first procedure is normal, the second amendment, which, in the direction of the incident signal known)

说明：  这是一个源程序集，里面包含了众多基于遗传算法的matlaB源程序(This is a process b set, which contains a large number of source code based on genetic algorithms matlaB)

matlab宝典,电子工业出版社,包含该书的源码12-14章，第12章文件I／0 第13章MATLAB编译器第14章应用程序接口(Matlab, the book electronics industry Press, the book contains chapters 12-14 source, Chapter 12 documents I/Chapter 13 0 MATLAB Compiler Chapter 14 Application Program Interface)

COA Toolbox for matlab

This is amatlab coding, implement the speech privacy using frequency domain method. it also includes the detection of end of speech algorithm to reduce the bandwidth consumed

说明：  正弦信号，单个频率的正弦信号，频率为1KHz，幅度为5(Sinusoidal signal, a single frequency sinusoidal signal, a frequency of 1KHz, the range of 5)

利用滑模变结构实现对倒立摆的控制仿真，采用s函数编写，便于修改(The use of sliding mode control to achieve inverted pendulum simulation, using s function to write, easy to modify)

A simple m-file to compute the experiemntal BER of coded BPSK(A simple m-file to compute the experiemnta l coded BER of BPSK)

基于MATLAB 图像融合 空间域加权平均 (Weighted average spatial domain image fusion)

MMT is a Matlab toolbox implementing the multi-task Lasso models, including: (i) the Lasso (ii) the standard multi-task Lasso, i.e. the group Lasso (iii) the structured input-output multi-task Lasso, a.k.a. the two-graph guided multi-task Lasso proposed in [1]. The last case (iii) subsumes the special cases: tree-guided and the feature-graph guided multi-task Lasso. The core optimization algorithm for solving this model is developed in C to enhance greater computational efficiency. In particular, current scalability of the coefficient matrix that has been tested for MMT is 104*104! The structured input-output multi-task Lasso model is well-suited for addressing the expression quantitative trait loci (eQTL) mapping problems which are of the intrinsic high-dimensional nature. Details can be found in [1].