randomviriable-pdapdf

line data for ieee 5,14,30 and 57 bus systems

矩阵的运算，在此贡献，希望大家多多指点。(Matrix computation, in this contribution, we hope that a lot of guidance.)

simulate the ofdm system

基于模糊神经技术的智能控制过程,模糊神经控制器（NFC）用于复杂系统的智能控制(Based on Fuzzy Neural Intelligent control process, fuzzy neural controller (NFC) for intelligent control of complex systems)

说明：  matlab 的随机森林代码，很不错，学习rf必备(matlab code for random forests, very good)

just matlab logging message

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. )

This is the IEEE Second benchmark model.

matlab读取各种类型格式(.mat格式.txt格式等)的源代码(the resource matlab mode for reading )

Color correction for tungsten,daylight,fluorescent illuminant image