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emd_huang
说明： hht变换中的关键部分emd分解，集中了hht变换中的最精华的部分。(hht transform a key part of emd decomposition, concentrated hht transform the most essential part.)
- 2010-04-04 21:09:54下载
- 积分：1
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1
说明： (谱分析方法的综合应用)利用时频分析工具对随机信号进行分离(Frequency analysis of random signals using the tool to separate)
- 2014-09-22 16:36:50下载
- 积分：1
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SFBC_channel_estimator
Channel estimator with SFBC
- 2015-07-10 22:12:23下载
- 积分：1
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BA.m
说明： matlab写的关于BA无标度网络的代码(scale-free complex networks sourcecode)
- 2009-08-25 10:42:04下载
- 积分：1
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Mateda2.0.zip-MATLAB-source-package
Matlab Package for Estimation of distribution algorithm
- 2011-06-29 02:33:15下载
- 积分：1
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fit
该算法是用正交多项式来求最小二乘拟合多项式。(This algorithm is to use orthogonal polynomials to seek least-squares polynomial fitting.)
- 2020-12-19 20:59:09下载
- 积分：1
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Matlab-tuxianghanshudaquan2010
Matlab中图像函数大全2010(免费版)(Matlab image function in Daquan 2010 (free version))
- 2011-10-10 22:18:44下载
- 积分：1
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Applied
Applied Speech and Audio Processing-With Matlab Examples - Copy
- 2010-08-14 00:40:51下载
- 积分：1
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MATLAB-in-digital-signal-processing-tutorial
MATLAB7.0在数字信号处理中的应用教程，超星阅览器阅读(MATLAB7.0 in digital signal processing tutorial, Superstar reader to read)
- 2010-08-15 10:50:10下载
- 积分：1
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N-sparse
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.
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- 2013-10-21 20:43:18下载
- 积分：1
