FFTexample

说明：  康奈尔大学开发的基于matlab的有限元计算程序，感兴趣的可以看看，有gui 界面，相关的教程可以登录下面的网站https://confluence.cornell.edu/display/SIMULATION/MATLAB+Learning+Modules(Matlab-based Cornell University developed the finite element program, interested can see, there are gui interface, related tutorials can log the following Web site https:// confluence.cornell.edu/display/SIMULATION/MATLAB+ Learning+ Modules)

基本人工鱼群算法程序，matlab代码，非常完整，有注释(AFSA programm is with matlab,which is very good )

comm filter low and high filters

说明：  采用继电法对PID参数进行整定，实现PID参数的获得(Method using relay tuning PID parameters, PID parameters to achieve access to)

自己写的关于lpc分析与合成的Demo程序，适合本科做设计参考。(himself wrote on the lpc analysis and synthesis of Demo procedure, we do the design for reference.)

this source code is an implementation of both primary and secondary user distribution in a predefiened area in Matlab

自学matlab必备的60个小例子，包括牛顿插值、taylor解常微分方程等算法的matlab实现源代码，保证正确(It includes 60 examples of the code of matlab)

matlab中的绘图讲解ppt，用于初学者绘图使用，方便(matlab_ drawing)

MATLAB教程，感兴趣的朋友可以一看，讲的还算比较基础。(MATLAB learning)

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)