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一个仿真的论文，关于svpwm的异步电动机调速(A simulation of the papers, on the SVPWM induction motor speed control)

遗传算法应用举例，在使用时可根据具体情况做修改(Application examples of genetic algorithm, when used according to the specific circumstances to make changes)

图像拼接，利用简易算法完成拼接过程，可实现不同数量的图像以为拼接。所采用图例为最新一届全国数学竞赛图片。绝对原创(Image mosaic, complete the splicing process using simple algorithm, which can realize image splicing different number of thought. The legend for the new session of the national mathematics contest. )

说明：  基于非参数核密度估计的EM算法，对行人图像进行检测。内附红外行人图像。(EM based on non-parametric kernel estimation. Pedestrian detection. With images inside.)

探测信号为单个信号的被动时反通信MATLAB仿真，可以直接把探测信号扩展成LFM。(Passive detection signal when a single signal for the anti-communications MATLAB simulation, can be directly extended to detect signals into LFM.)

说明：  用来处理气象上NCEP资料grib2的matlab处理程序(Matlab Processing Program for Processing NCEP Data grib2 in Meteorology)

C4.5算法 matlab实现的，感觉还可以，大家可以看看！(the implementation of C4.5 using matlab)

先进pid matlab 仿真 刘金琨 第版 第一章程序 pid matlab simulink liujinkunc hap01_7.rar

huffman enc.................................................

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)