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fastica用于信号处理系统的源码程序，希望大家多分析多处理(FastICA for the source signal processing systems process analysis of more than hope more than deal with U.S.)

Fortran进行并行计算的讲稿，台湾网站上下的。(Fortran for parallel computing of the script, Taiwan Web site from top to bottom.)

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. )

图像处理的一些基本matlab源代码，用于matlab图像处理的学习，《matlab数字图像处理》（张德丰）-Some basic image processing matlab source code matlab for image processing, learning, "matlab digital image processing" (Zhang Defeng)(-Some basic image processing matlab source code matlab for image processing, learning, "matlab digital image processing" (Zhang Defeng))

java和matlab混合编程的一种方法(java and Matlab programming a mixed approach)

Plots the irradiation diagram of a 4 isotropic elements array

zeta电路仿真 利用matlab/simulink对电路输出波形分析(the zeta circuit simulation matlab/simulink circuit output waveform analysis)

五对角占优线性方程组求解的MATLAB 程序MYLU。 输入参数A为系数矩阵，F为右端向量。输出参数L，U为A的LU 分解A=LU，X为解向量。(five pairs diagonally dominant linear equations MYLU the MATLAB program. A input parameters for the coefficient matrix, F subguadratic vector. Output parameters L, U of A LU decomposition A = LU, X-Solutions for Vector.)

m sequence polynomial

使用matlab工具，用三种方法实现镜头边缘的检测。(Use of matlab tools, using three methods to achieve the lens edge detection.)