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gaussmathod
gauss消去法及其应用:
参考北大版数值线性代数(Gaussian Elimination method and application
reference <Numerical linear algebra> published by peking university )
- 2015-01-27 15:56:54下载
- 积分：1
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wavelet
matlab fft codes by Maathworks
- 2011-01-27 15:39:14下载
- 积分：1
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features-extraction-in-matlab
feature extraction in matlab simple intro
- 2013-10-24 13:06:35下载
- 积分：1
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multi
说明： 上传几个二进小波变换的图像增强的matlab程序(From a number of dyadic wavelet transform of image enhancement matlab program)
- 2008-11-30 02:26:01下载
- 积分：1
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Correlation-Analysis
基于LabView2011的自相关分析和互相关分析，测试两个信号的互相关函数和自相关函数。(Based on the autocorrelation and cross-correlation analysis LabView2011 analysis, test cross-correlation function of two signals and autocorrelation function.)
- 2013-11-30 22:46:27下载
- 积分：1
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optical-flow-doc
optical flow algorithm
- 2011-05-02 00:23:03下载
- 积分：1
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Recursive-State-Estimation
为了得到具有一般相关量测噪声线性系统的递推滤波算法, 将该问题转化为具有相关量测
单值随机向量的滤波问题,根据单值随机向量的线性无偏最小方差估计算法,导出了量测噪声为一
般相关鞅差序列的线性系统的最优递推状态估计滤波算法.通过数值仿真,将该算法与假定量测噪
声不相关时的Kalman 滤波算法进行了比较,证明了该算法的有效性(In order to obtain the recursive f i ltering alg orithm for a linear system w ith general correlat
ed measurement noises, the problem is t ransformed to that of filtering for a single random vector w ith
correlated measurements. According to the linear unbiased minimum variance estimation algorithm for
a single random vector, a recursive filtering algori thm is presented. A digital simulat ion technique is
used such that the new algorithm can be compared w i th the Kalman f i ltering algorithm, assuming that
the measurement noises are uncorrelated. Validi ty of the proposed algorithm is thus proved)
- 2012-08-08 16:37:24下载
- 积分：1
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Kurtogram
谱峭度工具箱，用于轴承诊断，可以直接得到峭度谱，简单实用。(Spectral kurtosis toolbox for bearing diagnostics, can be obtained directly kurtosis spectrum, simple and practical.)
- 2015-08-29 15:22:11下载
- 积分：1
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deflections
beat identifications detection
- 2010-02-20 04:15:20下载
- 积分：1
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MATLAB
说明： MATLAB神经网络应用设计，适合初学者(MATLAB neural network application design, suitable for beginners)
- 2010-04-12 20:13:50下载
- 积分：1
