jsjy

glcm on dwt to get features

图像处理的相关程序，自己找了很多实验素材，均已调试通过(Image processing procedures, their own experiments to find a lot of material, have been debugging through)

光学仿真设计，适用于初学者学习使用matlab进行光学仿真，基于Matlab的光学实验仿真(Optical simulation design, suitable for beginners to learn to use matlab optical simulation, Matlab-based simulation of optical experiments)

阵列的方向图，其中包含均匀线列阵，均匀平面阵，均匀圆阵的方向图的源代码(The pattern of the array, which contains uniform linear array, uniform plane array, the source code of the uniform circular array pattern)

光束合成相干仿真器，模拟两个光束在空气中传播并相干，可进行参数设定。(Coherent beam combiner simulator to simulate the propagation and the two coherent light beams in the air, the parameters can be set.)

utilities for Kalman filtering, unscented filtering, particle filtering, and miscillaneous other things. This code is stable and fast. (utilities for Kalman filtering, unscented filtering, particle filtering, miscillaneous and other things. This code is st able and fast.)

说明：  求解参数估计的常用算法——EM，即期望最大化算法，用于代替样本量不完全时的极大似然估计算法。(Common algorithm for solving parameter estimation- EM, expectation maximization algorithm is used to replace the sample size is not completely at the maximum likelihood estimation algorithm.)

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. )

MATLAB中文使用手册，能对MATLAB有个基本的了解，简约。(MATLAB Chinese user manual, can have a basic understanding of MATLAB, simple.)

说明：  These are the source codes for training the neural networks with various kinds of training functions and for various kinds of inputs and alongwith there is important code also explaining difference between various kind of images like color gray b/w yuv ycbcr etc..