surrogates

Matlab 金融分析与金融数据处理(Matlab financial analysis and financial digit calculate)

madhirar1988年的关于桩网复合地基模型的计算程序(madhirar1988 year on net composite pile foundation model calculation program)

A little FAT32 Parser with some fuctions.

rastmat for speak recognition of matlab

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Time_FFT_bandnarrow_v2.m it is a function code it has an input data.

本次作业是在matlab环境中实现的，主要运用了图像处理的基础知识对一张车牌图像进行预处理。如图像转换、图像形态学处理以及图像的边缘检测等来增强图像的对比度。在此基础上利用形态学方法以及投影法相结合来定位图片中的车牌，并将其从图片中剪切出来。最后，将提取出来的车牌字符分割成单个字符并组成新的图像。(This work is implemented in matlab environment, the main use of the basics of image processing on a plate image preprocessing. The image conversion, image processing, and morphological image edge detection or the like to enhance the contrast of the image. Morphology and projection Combination plates to locate the picture, and cut out the picture on the basis of use. Finally, the extracted license plate character segmentation into individual character and form a new image.)

针对高精度的畸变图像,提出了一种基于最小二乘影像匹配的高精度畸变图像矫正算 法. 算法首先利用特征提取与边缘检测对图像进行预处理,并且将特征匹配与最小二乘算法相 结合,从而实现了图像与模板之间精确的子像素定位与匹配. 实验表明,该算法较好的解决了目前高精度畸变图像矫正算法中普遍存在的定位和匹配精度较差的缺陷,图像矫正效果良好,是一种有效的畸变图像矫正算法.(Image distortion for high-precision, a least-squares image matching based on high-precision image distortion correction algorithm. First of all, the use of feature extraction algorithm for edge detection and image pre-processing, and will feature matching with a combination of least-squares algorithm in order to achieve the image and the template between the sub-pixel accurate positioning and matching. The experimental results show that the algorithm has better accuracy of the solution to the current distortion prevalent image correction algorithm to match the accuracy of the positioning and less defects, image correction effect well, is an effective algorithm to correct image distortion.)

说明：  贝叶斯分类器，处理类别为两类，特征值为两个的情况。(Bayesian classifier to deal with two categories, feature is that two cases.)

capon算法，实现波达方向估计，不需要提前估计信源数！角度分辨力较高！(the the capon algorithm, the DOA estimates that do not need to estimate the number of sources in advance! High angle resolution)