Handwritten-digit-recognition

This is an implementation of Particle Swarm Optimization algorithm using the same syntax as the Genetic Algorithm Toolbox, with some additional options specific to PSO. Allows code-reusability when trying different population-based optimization algorithms. Certain GA-specific parameters such as cross-over and mutation functions will not be applicable to the PSO algorithm. Demo function included, with a small library of test functions. Requires Optimization Toolbox.

信号平滑滤波代码,用于平滑滤波处理，由Matlab编成(Signal smoothing filter code for smoothing filter processing, compiled by the Matlab)

ISAR成像的数据和源程序，非常重要！！(ISAR imaging data and the source is very important! !)

lucas kanade optical flow detection-segmentation-

基于自回归,全极点的AR模型,对随机信号的进行的功率谱估计.(based on the return of all Poles AR model of random signal of the power spectrum estimation.)

说明：  包含两个灰色预测模型的MATLAB代码实现。1.灰色预测GM（1，1）模型。2.改变初始条件，以1-AGO序列的最后一个数据为初始条件的灰色预测模型。(Contains two gray prediction model matlab code. 1. Grey Prediction GM (1,1) model. 2. Change the initial condition, take the last data of 1-AGO series as the initial condition of grey prediction model.)

蚁群算法是对自然界蚂蚁的寻径方式进行模似而得出的一种仿生算法(Ant Colony Optimization ACO .Matlab)

测量跟踪探测的一段MATLAB代码说明 TRIAC II. A MatLab code for track measurements from SSNT detectors(Measurement to detect the section of track MATLAB Code Description TRIAC II. A MatLab code for track measurements from SSNT detectors)

实现MIMO-OFDM的仿真源代码，用于MATLAB仿真，很有价值，(The realization of MIMO-OFDM simulation source code for the MATLAB simulation, very valuable,)

说明：  实验目的 本次实验与书中第二章及3.2节的部分内容有关，包括以下几个部分： （1）开始使用MATLAB （2）显示图像，理解图像的模型 （3）使用图像的不同格式，理解图像压缩的意义 （4）对图像做简单的操作 本次实验需要熟练使用以下几个MATLAB命令： imread, imwrite, imshow,figure (Experimental purposes of this experiment with the book, chapter and part of the contents of 3.2, including the following sections: (1) start using MATLAB (2) show the images, understanding image model (3) the use of images in different formats, understand the significance of image compression (4) on the image to do a simple experiment needs to operate the skilled use of the following MATLAB command: imread, imwrite, imshow, figure)