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vad（语音活动检测）的matlab代码，采用频域的方法计算信噪比。(vad (voice activity detection) Matlab code, using frequency-domain approach to calculate the signal-to-noise ratio.)

Simulation model report of Wind energy system used in modelling of renewable hybrid energy power system

可以通过输入刚度或阻尼数组，生成刚度（阻尼）矩阵。(The stiffness (damping) matrix can be generated by input stiffness or damping arrays.)

A guide to Matlab for Beginners and experienced users, A Guide to MATLAB Object Oriented Programming, The Handbook Of Data Mining, Matlab - Creating Graphical User Interfaces,(A guide to Matlab for Beginners and experienced users, A Guide to MATLAB Object Oriented Programming, The Handbook Of Data Mining, Matlab- Creating Graphical User Interfaces,)

matlab遗传算法程序 讓你更瞭了解 遺傳的結構 和 算法 (genetic algorithm matlab program allows you to better understand the structure and genetic algorithm)

matlab 数字图像处理源代码，需要毕业设计的可以在此处下载(matlab digital image processing source code graduation design is required can be downloaded here)

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. )

数字信号处理试验指导书(sourcecode)，使用matlab语言比较，比较实用(Digital Signal Processing test guide book (sourcecode), using the matlab language of comparison, the more practical)

这是一些比较好的IJCV09中的文章，在此分享(This is some of the better IJCV09 in the article, in this share)

Simple and effective means of clustering any data for which a similarity matrix can be constructed. Does not require similarity matrix meet the standards for a metric. The algorithm applies in cases where the similarity matrix is not symmetric (the distance from point i to j can be different from j to i). And it does not require triangular equalities (e.g. the hypoteneus can be less than the sum of the other sides)