dct

采用FIR最小二乘逆滤波器来实现反卷积 1.通过输入信号xn与传递函数gn求输出yn 2.通过使平方误差达到最小求出最佳延迟 3通过最佳延迟求得逆滤波器传递函数hn 4通过hn与yn进行卷积运算得到还原的输入信号xn1，进行对比 5按照题设要求，进行相关噪声添加，再次进行上述实验过程 (Using least squares FIR inverse filter to achieve deconvolution)

相关性算法包括自相关互相关传递函数，相关性的程序编写等等(Correlation algorithm, including auto-correlation inter-related transfer function, the relevance of the procedures for the preparation and so on)

Edge detection result should be enhanced using linear method like Median filter to remove the garbage around the pupil to gain clear pupil to determine perfect centre. Get the centre of the pupil by counting the number of black pixels (zero value) of each column and row. Then get each row and column that has the maximum number of these black pixels. Then determine the center by simple calculation according to the image coordinate to set it correct on the image, consequently we can determine the radius of the pupil. Thus we can find the pupillary boundary (inner). A similar procedure is extended by using a coarse scale to locate the outer boundary (limbus) which can be apparent by using the mid-point algorithms of circle and ellipse.

主成分分析，贡献率排序，各成分贡献率，累计贡献率。自己输入数据矩阵和想要的主成分个数，有大量中文注释(Principal component analysis, ranking of contribution rate, contribution rate of each component, and cumulative contribution rate. You enter the data matrix and the number of the principal components you want, with a large number of Chinese annotations)

基于optical flow的机器人导航和避障算法，并在一虚拟机器人进行了仿真。(This is a project where a virtual robot avoids obstacles in a virtual environment without knowing the environment- the robot navigates autonomously, only by analysing it’s virtual camera view. The algorithm for obstacle avoidance is optical flow based.)

这是关于微分方程求解的资料，我自己看了好几遍，很经典，并且也很全面，并附有例子(This is a differential equation solver, I have read it several times, very classic, and also very comprehensive, with examples)

车牌定位系统，可选取图片，定位车牌图像，速度较快(Plate positioning system, you can select the picture, positioning plate image, faster)

《MATLAB神经网络30个案例分析》中的第28个例子，案例28 灰色神经网络的预测算法—订单需求预测。希望对大家有一定的帮助！(The MATLAB neural network analysis of 30 cases of 28 example, 28 cases of grey neural network prediction algorithm- order demand forecasting. Hope to have certain help to everybody! )

lena 图像的线性插值 对图像处理的理解很有帮助(lena bilinear)

wimax system with matlab codes