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lmekf
经典的扩展卡尔曼滤波卡尔曼滤波程序，首先对非线性函数取一阶近似，生成近似的新型函数，然后进行卡尔曼滤波，通过一步状态和估协方差估计产生新息，然后生成状态预测(Classical extended Kalman filter, Kalman filter procedure, first take the first order approximation of nonlinear function to generate the new function approximation, and then proceed to the Kalman filter step state estimate covariance is estimated to generate new interest, and then generate the state prediction)
- 2012-06-27 07:07:51下载
- 积分：1
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shriyanshppt-130505051903-phpapp02
Its About Search engine optimization.
- 2014-10-30 09:55:21下载
- 积分：1
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coefficientcalculating
计算一个序列的AR模型系数的前3个系数值,非常好用(Calculating a sequence of former three coefficients AR model coefficients, very handy)
- 2015-03-03 16:18:47下载
- 积分：1
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Mahalanobis
马氏距离是一种有效地计算两个样本集之间相似度的算法（数据之间协方差距离），与欧式距离相比，它考虑了各种特征之间的联系。本实验旨在通过给出的样本数据，设计一个最小马氏距离分类器并对测试点进行分类，然后将其与最小欧式距离分类器进行比较，实验得出当协方差矩阵为单位阵时，最小马氏距离分类器将与最小欧式距离分类器等价。本实验还根据实验样本设计贝叶斯分类器进行分类，并与最小马氏距离分类器进行比较，比较两种分类器的分类效果。(Markov distance is an effective method to compute the similarity between the two samples (data covariance distance), compared with the Euclidean distance, which takes into account the link between different characteristics. This experiment aimed at through the given sample data, design a minimum Mahalanobis distance classifier and classify the test points, and then compare it with the minimum Euclidean distance classifier. Experimental results showed that when the covariance matrix is a unit matrix, minimum Mahalanobis distance classifier with the minimum Euclidean distance classifier equivalent.In this experiment, according to the experimental design of the Bias classifier, and compared with the minimum distance classifier, the classification results of the two classifiers are compared.)
- 2021-02-07 08:59:55下载
- 积分：1
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JAKEmodel
jake信道模型 的文章以及程序，以及一些PPT(jake channel model of the article, as well as procedures, as well as a number of PPT)
- 2007-11-06 17:19:03下载
- 积分：1
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sjwl
车牌识别中建立 bp 神经网络 建立样本(License Plate Recognition)
- 2013-10-04 13:19:13下载
- 积分：1
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Matlab-
这是一本介绍matlab工具箱的书籍，很全面。(This is an introduction to matlab toolbox of books, is very comprehensive.)
- 2015-01-20 12:30:40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
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mohuzhengliu
建立了基于matlab的模糊整流器的仿真模型，通过了仿真验证(Established based on the fuzzy matlab simulation model of the rectifier, through the simulation)
- 2010-09-27 15:26:38下载
- 积分：1
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Image-Processing-based-on-MATLAB
《MATLAB图像处理宝典》(秦襄培等编著)源代码，北京电子工业出版社2011版(MATLAB Image Processing Collection " (Qin Xiang Pei, eds) source code, Beijing Electronics Industry Press, 2011)
- 2012-06-12 21:20:15下载
- 积分：1
