cplexbilp.m

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应用大全-赵海滨，第9章反馈神经网络源码(matlab application Daquan- ZhaoHaiBin Chapter 9 feedback neural network source)

矩形检测,基于MATLAB的利用霍夫变换，自己弄的，很实用(rectangular detection)

matlab使用过程中使用较多的一些函数合集(matlab process of using some of the functions use more collection)

稀疏信道估计的经典参考代码，值得下载学习(classic programming code of sparse channel estimation which is deserved for learning and it the website of mathworks.)

讨论HHT代码的精华，讨论HHT代码的精华(the description and solution of hht)

Getting started with MATLAB

最新emd程序。法国学者的emd程序经多次修改，不断完善，该版本为07年4月最新版。(latest procedures. French scholars emd procedure has been revised many times, continuously improved version of the April 07 date.)

Nonlinear System Control Using Neural Networks

说明：  对各种进制的调频进行了matlab仿真，程序经过验证，完整可靠！(FM band on a variety of matlab simulation carried out, the program is verified, complete and reliable!)