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SFCode
Statistical Feature Extraction
- 2011-05-10 18:28:48下载
- 积分:1
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WSN-master
omnet++ implementation of wsn.
- 2014-09-05 19:39:27下载
- 积分:1
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asn1_decoder
Decoder for ASN.1 BER DER CER encoded bytestream.
- 2014-09-21 19:40:33下载
- 积分:1
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Decimation
This program apply decimation on a speech file.
- 2014-01-25 18:35:02下载
- 积分:1
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BP-Nonlinear
非线性误差曲面特性观察,用MATLAB实现BP网络模拟趋近(Observed non-linear error surface characteristics, network simulation using MATLAB tends to achieve BP)
- 2010-07-13 09:44:44下载
- 积分:1
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Biosignalandbiomedicalimageprocessing
《biosignal and biomedical image processing》一书的部分源码(biosignal and biomedical image processing- matlab based application)
- 2009-04-26 05:43:47下载
- 积分:1
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Method-for-solving-EM-problems
提出了一种求解电磁场有限元 边界元混合法所生成的线性方程组的有效方法 ———内观
法结合多波前法.由于该线性方程组的系数是一个部分稀疏部分满填充的矩阵,为了加速求解,应用内观法将系数矩阵分为 2块,一块是有限元法形成的稀疏矩阵,另一块是边界元法生成的满阵,然后用多波前法求解稀疏矩阵方程,用高斯 约当消去法解满阵方程. 采用该方法,计算了二维多层介质柱体的雷达散射截面.计算结果表明,该方法的计算效率远远高于传统的高斯法.(Proposed for solving mixed finite element boundary element linear equations generated by an effective method of Vipassana--- a combination of multi wave front method. Since the coefficients of linear equations is a part of the sparsely populated part of the full matrix, in order to speed up the solution, application of Vipassana coefficient matrix is divided into two, one is the finite element method for the formation of the sparse matrix, the other is the boundary element method generates the full array, and then use the multifrontal method for solving sparse matrix equation Gauss Jordan elimination method with full matrix equation solution. use this method to calculate the two-dimensional multi-layer dielectric cylinder of the radar cross section. The results show the computational efficiency of this method is much higher than the traditional Gaussian law.)
- 2011-04-26 09:02:53下载
- 积分:1
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minimum_tree
解决图论中的最小树问题的matlab源代码,简单易懂。(Matlab source code to solve the minimum spanning tree problem in graph theory, easy to understand.)
- 2012-04-23 21:00:51下载
- 积分:1
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asgn1
An image-based classification application satisfying all the aims above has been implemented. It
allows for flexible evaluation of SVM classification of facial expressions for arbitrary user-defined
emotion categories and various SVM settings.
- 2011-09-05 02:30:54下载
- 积分:1
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tensorlab
张量分析工具箱,很适合多方式成分分析与多传感器源数据融合。(tensor tool box, it s fitful for multi-way analysis and data fusion)
- 2015-01-07 17:13:49下载
- 积分:1