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面向Matlab工具箱的神经网络理论与应用,搞图像的要看。(Matlab toolbox for neural network theory and applications, engaging look at the image.)

通过Matlab，实现NEGAⅡ，对于多目标优化，并对研究问题SCH，进行了相关实验，效果不错，可以通过增加种群数、个体长度、以及迭代次数，来提高解的质量(The Matlab, the NEGA II, for the multi-objective optimization, and research questions SCH, the relevant experiments, good results, by increasing the number of population, individual length, and number of iterations to improve the quality of the solution)

一个AES加密算法的matlab实现代码，是密码学的又一重要加密算法。(A realization of the AES encryption algorithm matlab code, is another key cryptography encryption algorithm.)

一份matlab的ppt教程，给初学者，比较多面地介绍了matlab的基础(The ppt of a matlab tutorial for beginners, more multi-faceted introduction to the basis for matlab)

一本英文版的利用matlab进行光学扫描全息处理的电子书籍(An English version of the optical scanning holographic processing using matlab electronic books)

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：  蛙跳算法，基于蛙跳算法实现优化变分模态分解的K和a.(Frog jump algorithm, based on the frog jump algorithm to achieve optimal variational mode decomposition K and A.)

用于图像特征的K中心点聚类(k-mediods)的matlab实现。(k-mediods implements by matlab, used for cluster of image feature)

MPC MODEL PRECTIVE LINEAIRE SOURCE CODE

Matlab document about induction motor softstart