APFandPF

一种匹配滤波器的MATLAB代码实现，需要者可下载(A kind of matched filter MATLAB code realization needs can be downloaded)

不同的ESPRIT算法，包括总体最小二乘ESPRIT算法，最小二乘ESPRIT算法。(different ESPRIT algorithm,including TLS-ESPRIT algorithm and LS-ESPRIT algorithm.)

通信系统与建模仿真实例精讲第二章参考程序程序(Examples of modeling and simulation of communication systems with reference to Chapter II Procedure for Jingjiang)

一本matlab工科入门书籍，特别推荐，附有多个实例(Start a matlab engineering books, especially recommended, with multiple instances)

PUMA560A的仿真控制。很详细。非本人写的，但是写的很好(PUMA560A simulation control. Very detailed. Non-I write, but write the good)

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. )

application de filtre de kalman sur la deconvolution

its the code for face detectiona and regeneration

说明：  基于PCNN的图像灰度增强，我做毕业设计的时候的东西。(Grayscale image enhancement based on PCNN)

可以实现空间后方交汇,相对定位,光束法空间后方交汇(Space behind the convergence can be achieved relative positioning behind the convergence of the bundle space)