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An image-based classification application satisfying all the aims above has been implemented. It allows for flexible evaluation of SVM classification of facial expressions for arbitrary user-defined emotion categories and various SVM settings.

本代码为基于matlab的求解偏微分方程的利用径向基函数的无网格方法的源码(based on the Matlab code for the solution of partial differential equations using Radial Basis Functions non-grid method FOSS)

指纹识别源代码。思路完全是按照文件夹中网页里介绍的方法，即提取指纹中的分叉点和端点的位置作为指纹的特征值。由于今天太忙，对图像的预处理作的很失败，程序会提取出很多伪点，而指纹轮廓也没有想出办法过滤。汗，你看看能不能参考把。 三个m文件，fd.m提取指纹中的分叉点，fd2.m提取指纹中的端点，Cpoint.m则是前两个文件运行中需要调用的掩模函数。(fingerprint identification code. Thinking is entirely in accordance with the folder on the website Lane, that the fingerprints of the bifurcation point and endpoint position as a fingerprint eigenvalues. As today are too busy, the image preprocessing for the failure, the program will extract a lot of pseudo-point, and the fingerprint profile nor find a way to filter. Khan, you can look at the information put. 3 m documents, fingerprints fd.m the bifurcation point, fd2.m fingerprints of endpoint, Cpoint.m are two documents before the operation need to call the mask function.)

关于二进制线性编码的程序，研究了它的功率频谱图 (About binary linear codes of procedures, the study of its power spectrum diagram)

％电影动画： ％1.首先调用moviein函数对内存初始化.创建一个足够大的矩阵来容纳一系列指定的图形（帧） ％2.调用getframe函数生成每一帧.该函数返回一个矢量，利用这个矢量创建一个电影动画矩阵 ％3.调用movie函数按照指定速度进行指定次数的播放 ％例子2：演示如何实现快速傅立叶变换（exp(j*2*pi/n)）的可视化过程( Movie animation: 1. First transfers the moviein function to the memory initialization Founds graph which an enough big matrix holds a series of assigns (frame) % 2. Transfers the getframe function to produce each This function returns to a vector, uses this vector to found a movie animation matrix % 3. Transfers the movie function according to assign the speed to carry on assigns the number of times the broadcast Example 2: How demonstrates realizes fast Fourier transforms (exp (j*2*pi/n)) the visible process )

用于计算最大期望估计，matlab调试通过。(Used to calculate the maximum expected estimation, debugging through.)

Stretches contrast on the image and normalize image from 0 to 1. The main difference of this function to the standard stretching functions is that standard function finds global minimum and maximum on the image, then uses some low and high threshold values to normalize image (values below LowTHR are equated to LowTHR and values above HighTHR are equated to HighTHR)

highboost filter for image enhancement

用于声源定位的二维声源位置图创建，可以同时画出几个方向的声源(Sound Source Localization for Two-dimensional sound source location map creation, can be drawn in several directions at the same time the sound source)

说明：  雷达成像中传统RD成像效果，追对的MIG25数据(image processing)