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PCA
PCA人脸识别算法,识别率达到99 ,采用小波变换的方法及主成分分析法。(PCA face recognition algorithm, the recognition rate up to 99 , using wavelet transform methods and principal component analysis.)
- 2009-09-25 20:21:19下载
- 积分:1
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esprit算法
ls_esprit算法和tls_esprit算法,以及他们的比较(Ls_esprit algorithm and tls_esprit algorithm, and their comparison)
- 2021-04-18 23:08:51下载
- 积分:1
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Vector-data-display
在matlab平台下,编程实现矢量数据的显示,简单易懂!(In the matlab platform, programming to realize vector data display, easy to understand)
- 2012-11-25 19:21:19下载
- 积分:1
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DTmain
动态分级法matlab程序,动态聚类,方法简便有效,而且能够给出所有分类结果。(Dynamic classification method matlab procedures, dynamic clustering, the method is simple and effective, and can give all the classification results.)
- 2013-12-31 14:53:11下载
- 积分:1
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filtrage
filtrage, this represents a good example of filtrage in mathematic matters
- 2009-12-10 02:38:09下载
- 积分:1
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MATLAB
matlab的基础技术文档,很管用,还有很多实例(matlab based technical documentation, very useful, there are many instances)
- 2011-11-25 15:13:41下载
- 积分:1
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direction-in-degree
Estimation of direction in degree for doa study
- 2014-01-05 23:47:10下载
- 积分:1
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A_Brief_Introduction_to_Mathematica
A Brief Introduction To Mathematica
Dr. Christopher Moretti
Department of Mathematics
Southeastern Oklahoma State University
- 2010-08-16 20:15:15下载
- 积分:1
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Autocorrelation-and-Cluster-analysis
用于计算同一序列在不同时刻的取值之间的相关程度的函数,即自相关函数 聚类分析函数(Autocorrelation functio,which was used to calculate the correlation of the same sequence at different time. Cluster analysis function)
- 2011-01-24 15:47:17下载
- 积分:1
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ApplicationImproved--r-Algorithm
粒子滤波算法在非线性系统中得到了广泛的应用,其精度取决于目标概率函数和重要性函数是否相近,并且样本退化问题也影响了算法的性能。针对粒子滤波算法中样本退化的问题,本文提出一种基于奇异值分解的粒子滤波算法。该算法通过使用奇异值分解方法得到的重要性概率密度函数更接近于目标概率分布,降低样本退化的影响,提高了滤波器的精度,然后在列车组合定位系统的数学模型中应用该算法进行仿真实验。 (Particle filter algorithm for nonlinear systems is widely used, its accuracy depends on whether the target probability function and importance of the functions are similar, and sample degradation also affects the performance of the algorithm. For particle filter algorithm sample degradation problem, this paper proposes a particle filter algorithm based on singular value decomposition. The algorithm by using singular value decomposition of the importance of the probability density function method to get closer to the target probability distribution, reduce sample degradation, improve the accuracy of the filter, and then apply the algorithm in combination mathematical model train positioning system simulation experiments. The simulation )
- 2014-09-24 20:06:22下载
- 积分:1