RoboticToolbox

这是一个用人工鱼群算法编写的求函数极值的matlab程序(This is an artificial fish school algorithm with the evaluation of the function extreme value write matlab program)

Speech Recognition using Neural Networks

内插 I=4 LFM加SNR=10dB，噪声内插输出需加滤波器(Interpolation，I=4 SNR=10dB)

一篇关于Matlab的很好的教程，对于学习matlab来讲是一个不错的选择(A good tutorial on Matlab, matlab for learning is a good choice in terms of)

salt and pepper noise correction

本文含有所有matlab神经网络工具箱函数，并有解释(This article contains all the matlab neural network toolbox function, and to explain)

创建一个n维的稀疏数组对象，n是任意值。 定义N可能是大于2的一类n维稀疏阵列。然而，它应该被认为是一种起动方式与普通的MATLAB稀疏矩阵和重塑它有N维度。换句话说，稀疏的数据，首先必须能够作为一个普通的2D MATLAB稀疏矩阵被前n维。事实上，如果目标数组的尺寸mxnxp……yxz，然后将它存储在内部类是一个普通的二维稀疏阵列的尺寸（M×N×P×……×Y）XZ。这导致了某些内存株时使用大量的尺寸。我发现有用的类主要用于中等尺寸像三维图像边缘检测，你经常要举行一个稀疏的3D的边缘地图。(Creates an N-dimensional sparse array object, for arbitrary N.This submission defines a class of N-dimensional sparse arrays for N possibly greater than 2. However, it should really be thought of as a way of starting with an ordinary MATLAB sparse matrix and reshaping it to have N dimensions. In other words, the sparse data must first be able to exist as an ordinary 2D MATLAB sparse matrix before being made N-dimensional. In fact, if the intended array has dimensions MxNxP...YxZ, then the class will store it internally as an ordinary 2D sparse array of dimensions (M*N*P*...*Y)xZ. This leads to certain memory strains when using large numbers of dimensions. I find the class useful mainly for moderate dimensional things like edge detection in 3D imaging, where you often want to hold a sparse 3D edge map. )

一个简单的GUI源码,生成一个简单的GUI界面。(Origin code of an simple GUI，which can generate a simple interface of GUI)

gui (graphical user interface) for face recognition base on pca (eigenface)

利用数字图象处理技术对粒度进行分析和处理(Using digital image processing technology to analyze and process granularity)