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过不同方法进行粗糙集属性约简matlab完整程序(rough set matlab program)

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. )

模糊熵，　为解决从信号中提取故障特征难的问题, 介绍了一种新的信号故障特征提取方法—— 多尺度熵( multi-scale entro py, 简称MSE) , 并将样本熵和多尺度熵分别应用于转子故障信号复杂性的度量, 以提取故障特征。试验数据 分析表明, 与样本熵相比, 多尺度熵更能有效地实现转子故障类型的诊断。(A new rolling bearing fault diagnosis approach based onmultiscale permutation entropy (MPE), Laplacian score (LS), and support vector machines (SVMs) is proposed in this paper. Permutation entropy (PE) was recently proposed and defined to measure the randomicity and detect dynamical changes of time series.)

用窗去除噪声，达到良好的去噪效果.通过不同窗的比较，得到满意的效果。(to discris the noise by a window)

主要是matlab概率统计工具箱的介绍.(mainly statistical probability of Matlab Toolbox presentation.)

此方法为Hankel矩阵法辨识出系统的传递函数(Hankel matrix method)

一个通用的matlab程序 小波神经网络(A common procedure matlab wavelet neural network)

二自由度水箱液位控制。简单的小程序，简洁易懂。(Two-freedom level control.simple program.)

如题，很简单的小工具，信噪比snr和均方mse的MATLAB代码。(As topic,a very simple tool, SNR and MSE MATLAB code.)

this is a how to read a byte in a the image