5-source-code

包含Matlab100个简单实用的例子，您可以通过对这些例子的使用，逐渐熟悉和掌握Matlab。(Matlab100 contains a simple practical example, you can through the use of these examples, to become familiar with and mastering the Matlab.)

kalman滤波程序，是一种数据融合程序，主要用以组合导航(kalman filtering process, is a data integration process, mainly for navigation)

matlab pso algorithm code that can use easily

扩散的菲克第二定律的数值求解 第一次弄，请大家赐较(Colorific proliferation of the second law of the numerical solution of the first alley, please grant more)

利用模糊控制，实现机器人避碰的程序，实验效果良好(The use of fuzzy control, robot collision avoidance procedures, test results good)

空间调制程序，包含SM，VBLAST,MRc三种算法的性能对比，对空间调制的入门初学者很重要，程序完整，可以直接运行(Spatial modulation procedures, including SM, VBLAST, performance comparison MRc three algorithms for spatial modulation of beginners is very important, program integrity, and can be run directly)

说明：  运用Matlab编程，实现了三维结构的凝聚，包括Guyan法，标准凝聚和迭代凝聚法。(With Matlab programming, we achieve the cohesion of the three-dimensional structure, including the Guyan method, standard condensation and iterative condensation method.)

This is one of the methods for face recognition using FLD method

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)

采用matlab软件进行的移相全桥仿真研究（恒功率）(Carried out using matlab software simulation of phase-shifted full-bridge (constant power))