ga_main

CRYPTOGRAHIC ALGORITHM AES USE TO ENCRYPT THE STRING...........

Neural Network Training using MATLAB

用matlab代码实现的稀疏自编码器，通过可视化步骤，可以看到稀疏编码提取出来的她特征。( sparse autoencoder written by matlab, through visualization step, you can find the features extracted by sparse coding .)

说明：  ICA源程序，主要用于模拟信号的合成与分解。(ICA source, mainly for analog synthesis and decomposition.)

变化列表 varyQueue.js 变化列表 varyQueue.js(vary Queue)

里面的有些自适应的程序文件是后来加上去的，有些还调试不成功。但是生成局放信号，对其emd分解，频谱显示，希尔伯特变换，这些都能够实现。效果很好(Inside some files are added later, and some debugging unsuccessful. But PD signal generation, emd decomposition, spectrum display, Hilbert transform, which are able to achieve. Good results)

基于BPSK调制的认知无线电能量检测,关于检测概率和虚警概率(bpak modulation for energy detection base on CR)

函数回调，用MATLAB实现，应用于各种GUI界面设计。(Callback function, in MATLAB, used in a variety of GUI interface design.)

matalab coing using adaptive resonance theory

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].