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通过对抽油杆运动规律的分析并结合简易的几何图形，计算出光杆悬点运动的位移函数，从而得出光杆运动的速度函数和加速度函数，并且通过MATLAB软件给出了位移函数图象，及其与有荷载的附件1的悬点位移数据的比较图。(Through the analysis of the sucker rod motion law and combining the simple geometric shapes, calculate the polished rod suspension point displacement function, calculated the functions and the acceleration of the polished rod motion speed, and displacement function is given by MATLAB software image, and its suspension with a load of attachment 1 point displacement data comparison chart.)

用turbo-C來編程80188,能boot開機,程式功能為DUCATI機車診斷程式。 (Programmed with a turbo-C 80188, to boot boot program features for DUCATI motorcycle diagnostic program.)

The local binary pattern (LBP) is a simple yet very efficient operator which labels the pixels of an image by thresholding the neighborhood of each pixel and considers the result as a binary number. Perhaps the most important property of the LBP operator in real-world applications is its invariance against monotonic gray level changes caused, for example, by illumination variations. Another equally important is its computational simplicity, which makes it possible to analyze images in challenging real-time settings. LBP is also very flexible: it can be easily adapted to different types of problems and used together with other image descriptors

计算核密度估计的一个程序，内置多种函数。可以修改原始数据。(Computing kernel density estimation program built many functions. You can modify the original data.)

利用MATLAB编写GMM图像处理模块。具有较好的效果。。。(GMM prepared using MATLAB image processing module. With good results. . .)

Time split rinex! Input myfile.obs , time[s]

file for OPTIMAL nonlinear controle ...

denoising filters such as Average, Median, Gaussian, Wiener, Min-order-statistic, Maxorder-statistic and Median-order-statistic are used. Based on the images obtained by the mentioned filters, it is become obvious clear that for the given noisy image the Min filter acted much better than the other filters. Order-statistic Median and Gaussian filters are the ones that have a second and third good result respectively. That is way can conclude that the existing noise in the given image was Salt noise.

本程序利用奇异值分解对3通道彩色图像进行压缩分解，具体步骤如下： 压缩过程： 1. 选取子图像大小K值，把图像分解成M×M个子图像，IMG(s),s=1,2,…, M2，其中M=N/K，原始图像IMG大小为N×N。 2. 计算这M2个子图像的平均值average，对每幅子图像减去均值图像得到新图像。 3. 计算相关矩阵R，其元素定义为 。 4. 计算R的特征值与特征向量，计算每幅子图像与最大特征向量的内积，便得到编码，即压缩后的图像。 (This procedure using singular value decomposition of 3-channel color image compression decomposition, concrete steps are as follows: compression process: 1. Select the sub-image size K value, the image is decomposed into M × M sub-image, IMG (s), s = 1, 2, ..., M2, in which M = N/K, the original image IMG size N × N. 2. M2 calculate the average of sub-image average, for each sub-image minus the new images mean images. 3. Calculation of correlation matrix R, defined as its elements. 4. Calculation of the characteristics of R value and eigenvector calculated each sub-image with the largest eigenvector of the inner product, they will have to code, that is, the compressed images.)

To Compare thr RlS and LMS algorithm we utilised and improved the exisiting functinal from matlab, precisely the scheme of RLS and LMS algorithms for adaptive noise cancellation.