FunCarLP

partial least square matlab code.

决策树算法的CART算法，用MATLAB编写，能有，不错的。(CART decision tree algorithm algorithm, using MATLAB to prepare, to have, good.)

说明：  很好的源码，蚁群算法解决PID，值得一看(A good source, ant colony algorithm to solve PID, worth a visit)

标准粒子群算法，内含1个简单的适应度函数，可直接运行，没有错误(Standard particle swarm algorithm, containing a simple fitness function, can be directly run, no error)

该程序算法用于求解以矩阵不等式形式表示的控制器问题，锥补线性化算法（CCLA）可以对非线性矩阵不等式作线性化处理，再利用Matlab中工具求解线性矩阵不等式（LMI），即可求得控制器增益参数。(The program algorithm is used for solving the controller problem expressed in the form of matrix inequalities. The cone complementarity linearization algorithm (CCLA) can linear process the non-linear matrix inequalities, then use the Matlab tools for solving linear matrix inequalities (LMI), you can obtain the controller gain parameters.)

针对基于小波变换的红外图像增强方法视觉效果不够理想的缺点, 提出了一种基于平稳小波变换和Retinex 的红外图像增强方法, 利用Retinex 增强算法增强图像的视觉效果, 并改善其亮度均匀性。首先, 对红外图像经平稳小波变换后的最大尺度低频子带图像进行多尺度Retine x 增强 然后, 利用贝叶斯萎缩阈值法对高频子带图像进行阈值去噪, 并根据低频子带图像的局部对比度和模糊规则计算高频子带的增益系数, 从而得到增强后的高频子带图像 最后, 由低频子带图像和高频子带图像重构得到增强后的图像。针对大量图像进行了实验和增强效果的定性与定量评价, 并与双向直方图均衡法、二代小波变换法、Curvelet 变换法和多尺度Retinex法作了比较。结果表明, 所提出的方法增强了图像细节, 抑制了噪声, 并明显改善了图像的整体视觉效果。(As infrared image enhancement method based on wavelet transformation has the problem of unperfect visual effect , and Retinex enhancement algorithm can enhance visual effect of the image by improving brightness uniformity , amethod based on stationary wavelet transformation and Retinexis proposed.Firstly , the infrared image is decomposed into high-frequency detail and low-frequency approximation components at various resolutions, and the low frequency subband image of the largest scale is enhanced by multiscale Retinex algorithm.Then, the highfrequency subband images are denoised by Bayesian shrinkage method, and the gain coefficients of high-frequency subbands are available by calculating the local contrast of the enhanced low-frequency subband based on fuzzy rules to get the enhanced high-frequency subband images .Finally, the enhanced image is reconstructed by the low-frequency subband and high-frequency subbands .Experiments with qualitative and quantitative uation are carried ou)

说明：  OMP（正交匹配追踪）算法，用于压缩感知，稀疏信号的重建.(OMP algorithm for compressed sensing, sparse signal reconstruction)

this is implementation of GP+ES, you should use these source code with gplab, copy and replace these files in gplab directory and enjoy it

WIMAX-MIMO的Alamouti-ofdm空時分組碼MATLAB程序(alamouti-ofdm of wimax-mimo.alamouti-ofdm)

Calcul of entropie s image