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ICP fit points in data to the points in model. Fit with respect to minimize the sum of square errors with the closest model points and data points. Ordinary usage: [R, T] = icp(model,data) INPUT: model - matrix with model points, data - matrix with data points, OUTPUT: R - rotation matrix and T - translation vector accordingly so newdata = R*data + T . newdata are transformed data points to fit model see help icp for more information (ICP fit points in data to the points in model. Fit with respect to minimize the sum of square errors with the closest model points and data points. Ordinary usage: [R, T] = icp(model,data) INPUT: model- matrix with model points, data- matrix with data points, OUTPUT: R- rotation matrix and T- translation vector accordingly so newdata = R*data+ T . newdata are transformed data points to fit model see help icp for more information )

一种改进的灰色系统理论进行非线性系统的预测，验证可用(An improved Grey prediction theory of nonlinear systems, verification can be)

简单的平滑处理的例子，用到了smooth函数和polyfit函数。适合初学者(Examples used to Datalist control, suitable for beginners, and can be used directly)

Generates a pulse with length Tp ,which is composed of Nc cycles of a sinusoidal waveform sinpulse is the waveform representing the pulse

IMU的惯性导航算法实现机制，通过引入非线性卡尔曼滤波算法提高定位的精度。(Implementation of inertial navigation algorithm based on IMU.The nonlinear Calman filtering algorithm is introduced to improve the positioning accuracy.)

车牌识别程序，MATLAB，源代码，M文件(MATLAB)

Bifurcation Diagram of Quadratic map

常用的一些图像处理Matlab源代码,比如数字图像的傅立叶变换，二维离散余弦变换的图像压缩，采用灰度变换的方法增强图像的对比度，直方图均匀化，图像滤波等(Some commonly used image processing Matlab source code, such as digital image Fourier transform two-dimensional discrete cosine transform image compression method using gray transform image contrast enhancement, histogram equalization, image filtering, etc.)

计算二维图形的分形维数，比较好用，计算方便(Calculate the fractal dimension of a two-dimensional figure)

PCA主成分分析算法用于人脸识别的例子。此算法是基于矩阵特征值的排序而提取出主要成分的。(PCA principal component analysis algorithm for face recognition example. This algorithm is based on the ranking of the matrix eigenvalue extracted principal components.)