camaracalibration

PCA技术的一大好处是对数据进行降维的处理。我们可以对新求出的“主元”向量的重要性进行排序，根据需要取前面最重要的部分，将后面的维数省去，可以达到降维从而简化模型或是对数据进行压缩的效果。同时最大程度的保持了原有数据的信息。 (A major advantage of PCA technology is reduce the dimension of the data processing. We can calculate the new " principal component" vector order of importance, according to need to take the most important part of the front, eliminating the rear of the dimensions, dimension reduction can be achieved to simplify the model or the effect of data compression . At the same time maintaining the greatest degree of the original data.)

估计光流的经典算法B&A，通过测试可以运行，但运行时，占用内存过大，如果出现警告请详细查看readme(Estimates the optical flow for standard test sequences using H&S algorithm)

本代码主要讲述了抛物型偏微分方程的向前Euler格式的差分解法。代码简单，高效。(This code mainly tells the story of parabolic partial differential equations of Euler forward format of finite difference method. The code is simple, efficient.)

宽带雷达的检测模型,包括扩展目标模型、线性调频信号和脉冲压缩(Wideband radar detection model,including the distance extended target, the Linear Frequency Modulation signal and pulse compression)

有效实行数据分类和图像分割的源码， 非常适合学习实用(image and data segmentation)

分数阶Unscented卡尔曼滤波器研究.pdf分数阶Unscented卡尔曼滤波器研究.pdf(Fractional Unscented Kalman Filter )

自己收集的matlab遗传算法的资料，耐心看完会有收获(Own collection of matlab genetic algorithm data, there will be harvesting the patience to read )

contraharmonic filter and anti_blurring

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数字图像处理课程上机实验4_Matlab图像锐化-Sobel，Laplacian算子(Digital Image Processing courses on experiments 4_Matlab image sharpening-Sobel, Laplacian operator)