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运用MATLAB程序将索书号文字从图像中进行识别分割出来.包含有图像和源程序.(MATLAB application procedure will call number text from the image to identify differently. Contains images and source code.)

该程序实现了模式识别的kmeans聚类。(The program implements a pattern recognition kmeans clustering.)

本帖调用自编函数（grating）绘制光栅条纹图像，通过例子讲解水平、竖直、环状和辐射状光栅条纹图像的绘制，用黑白和彩色显示效果给大家视觉上的震撼。调用自编函数时，可以通过成对出现的参数控制条纹的方向、颜色、周期、相位角等。(This post calls self-function (grating) draw grating image, by way of example to explain the horizontal, vertical, circular and radial grating image rendering, with monochrome and color display give you visual shock. Self function call, the parameters can be controlled by pairs stripe orientation, color, period, phase angle.)

啁啾脉冲对传输特性的影响，用MATLAB实现可视化(chirp pulse)

说明：  算差分盒维数的matlab程序。 让窗口中的每个像素都对分数维作出贡献。首先,计算某一尺度窗口的平均灰度值 ,然后判断每一个像素的灰度 ,若大于灰度平均值 ,则累加其灰度值为 max ,若小于灰度平均值 ,则累加其灰度值为min ,用max 和min代替 在 Sarkar 和 Chaudhuri 算法中的最大值和最小值 ,再通过拟合求出分数维。 (Differential count box dimension matlab program. Let window on the fractal dimension of each pixel to contribute. First, the calculation of an average gray scale of the window, and then determine the gray scale of each pixel, if the intensity is greater than the average, the cumulative value of its gray max, if less than the average gray level, the accumulation of its gray value of min, max and min to use instead of the algorithm in Sarkar and Chaudhuri maximum and minimum, and then by fitting the calculated fractal dimension.)

功率谱反演法对大气湍流的数值模拟，分为均匀采样和非均匀采样两种(Numerical simulation of the power spectral inversion of atmospheric turbulence, uniform sampling and divided into two kinds of non-uniform sampling)

invers fuzzy logic control for induction motor

多维变量的寻优算法，遗传算法解决多变量的最优化问题。(multivariable GA)

提出了一种基于小波变换和模糊集的图像融合算法.其基本思想是: 首先对图像进行小波变换,获得图 像的低频和高频分量 随后在融合过程中, 对低频和高频分量采取不同的融合策略, 即对低频分量采用平均能 量法进行融合,对高频成分利用图像的模糊集, 寻求一个模糊隶属函数作为融合算子进行融合 最后再对融合 后的图像进行小波反变换,重构出融合后的图像.实验结果证明了方法的有效性.(Proposed image fusion algorithm based on wavelet transform and fuzzy sets. The basic idea is: First the image wavelet transform to obtain the low and high frequency components of the image followed by low and high frequency components in the fusion process to take a different the integration of strategy, integration of the low frequency components using the average energy method, the use of high frequency components of the image fuzzy sets, look for a fuzzy membership function as a fusion operator for fusion image fusion wavelet transform and re- structure of fused images. experimental results demonstrate the effectiveness of the method.)

DefaultCorpusRanker extends AbstractCorpusRanker.