visualiza_Boundary_condition_annulus

Algoritmo de K-Vecinos Más Cercanos

一种处理图像的新方法，monogenic，用于人脸识别，识别率不错(A new method of image processing, monogenic, for face recognition, recognition rate of well)

英文版本的关于反馈fxlms算法在主动降噪中的使用，很不错的一个pdf(Feedback fxlms English version of the algorithm on the use of active noise reduction, very good one pdf)

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. )

对图像的小波分解与重构，并且进行阈值滤波，对滤波前后的图像进行了对比(The image of the wavelet decomposition and reconstruction, and the threshold to filter the images before and after filtering were compared)

说明：  matlab仿真延迟相乘法估计调制信号符号速率(matlab simulation multiplication delayed modulation signal symbol rate is estimated)

sliding mode controller slotine example 7-2

The Rough Sets experiments - Attribute Reduction(The Rough Sets experiments- Attribute Reduction)

一维热传导程序程序，很简单，完全可以套用的。是通用方法(One-dimensional heat conduction)

自己写的2D FDTD 频域近远场变换程序, MATLAB(The 2D FDTD write your own frequency domain near to far field transformation program, MATLAB)