Simple-Function-Approximation

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设计一个模糊PID控制器,以及单级倒立摆simulink系统，使其可是实现对单级倒立摆的的优化控制。(Design a fuzzy PID controller and a single-stage inverted pendulum simulink system to achieve optimal control of the single-stage inverted pendulum.)

最速下降法 功能比较简单 附有输入参数的说明 程序的运行结果说明 可读性强 适合初学者(The steepest descent method function is relatively simple series of)

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水轮机变结构仿真程序以及M文件，S函数编写，PSO优化参数(Variable structure of turbine simulation program as well as M-files)

编写四阶 Runge_Kutta 公式的计算程序，对线性状态方程进行仿真 (Preparation of fourth order Runge_Kutta formula calculation procedures, the linear equation of state for simulation)

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)

一种基于最大域值平方法的目标识别算法程序.rar(A domain based on the maximum value of level of target recognition algorithm approach procedures. Rar)

采用循环相位相关的LPT景像匹配算法（图像匹配）(LPT cycle phase associated with the scene matching algorithm (matching))

matlab实现在端元已知时fuzzy c-means 算法混合像元分解，并根据测试点进行精度评定(matla code of FCM for mixed pixels unmixing)