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martinspeech
用于speech enhancement的经典噪声估计源代码完整,可直接使用。(Classical speech enhancement for noise estimation complete source code can be used directly.)
- 2010-10-24 10:27:21下载
- 积分:1
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particle_swarm_optimization
说明: 使用粒子群算法解决10个城市的旅行商问题 可绘制图形(Use the particle swarm algorithm to solve traveling salesman problem of 10 cities can draw pictures)
- 2011-02-25 21:39:51下载
- 积分:1
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sag_final
sag model dvr and statcom
- 2017-01-06 15:07:54下载
- 积分:1
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cycloconverter
Implementation of a 3 phase cycloconverter inverter in matlab/simulink
- 2012-06-03 21:38:10下载
- 积分:1
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nsct_toolbox
This toolbox implements the Nonsubsampled Contourlet Transform
- 2013-03-11 17:21:26下载
- 积分:1
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Script--Lab4
Fourier descriptor which is invariant to rotation and scaling
- 2013-04-02 01:13:35下载
- 积分:1
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ClientLogon
new raja login gm tool
- 2014-01-29 14:12:55下载
- 积分:1
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IsomapR1
说明: Isomap通过“改造一种原本适用于欧氏空间的算法”,达到了“将流形映射到一个欧氏空间”的目的。(Isomap achieved the goal of "mapping manifolds to an Euclidean space" by "reforming an algorithm that was originally suitable for Euclidean space".)
- 2019-03-01 19:54:50下载
- 积分:1
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TwoLinkManipulator
code of two link manipulator,it is for forward kinematics
- 2013-05-20 17:23:12下载
- 积分:1
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stprtool
统计模式识别工具箱(Statistical Pattern Recognition Toolbox)包含:
1,Analysis of linear discriminant function
2,Feature extraction: Linear Discriminant Analysis
3,Probability distribution estimation and clustering
4,Support Vector and other Kernel Machines(
This section should give the reader a quick overview of the methods implemented in
STPRtool.
• Analysis of linear discriminant function: Perceptron algorithm and multiclass
modification. Kozinec’s algorithm. Fisher Linear Discriminant. A collection
of known algorithms solving the Generalized Anderson’s Task.
• Feature extraction: Linear Discriminant Analysis. Principal Component Analysis
(PCA). Kernel PCA. Greedy Kernel PCA. Generalized Discriminant Analysis.
• Probability distribution estimation and clustering: Gaussian Mixture
Models. Expectation-Maximization algorithm. Minimax probability estimation.
K-means clustering.
• Support Vector and other Kernel Machines: Sequential Minimal Optimizer
(SMO). Matlab Optimization toolbox based algorithms. Interface to the
SVMlight software. Decomposition approaches to train the Multi-class SVM classifiers.
Multi-class BSVM formulation trained by Kozinec’s algorithm, Mitchell-
Demyanov-Molozenov algorithm )
- 2009-03-13 17:03:40下载
- 积分:1