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hiperlan2_4
Hiper LAN Matlab/Simulink simulation module
- 2010-09-10 18:12:40下载
- 积分：1
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FIR
详细介绍了窄带滤波器的设计，如半带，CIC等原理，原理很详细(Details of the narrow-band filter design, such as half-band, CIC and other principles, the principle in detail)
- 2010-12-05 14:26:28下载
- 积分：1
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stdpf
说明： 带注释的一维粒子滤波MATLAB程序，适合初学者学习。(Notes with one-dimensional particle filter MATLAB program, suitable for beginners to learn.)
- 2010-05-03 01:24:14下载
- 积分：1
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swing
swing equation model and program
- 2015-02-25 17:40:43下载
- 积分：1
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code
histogram files with some pdf files
- 2014-02-23 01:39:44下载
- 积分：1
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Boost_PID
Boost PID control simulink model
- 2015-04-07 20:51:34下载
- 积分：1
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ricetest
ricetest testing rice channel
- 2010-03-04 04:40:06下载
- 积分：1
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PLL_Basic
PLL basic modal in simulink
- 2019-07-04 03:39:55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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solter_filter
摘要 本文提出了一种新的基于极大似然法的椒盐噪声滤波算法。在传统BP 算法中引入
了极大似然估计，在训练样本时能够在考虑网络逼近行为的同时对噪声分布进行估计。而且
针对椒盐噪声模型构造了新的鲁棒误差函数，从而使算法本身的抗干扰性增强。实验结果表
明了该算法与传统BP 算法相比具有更好的滤波性能。(Abstract This paper presents a new maximum likelihood method based on impulse noise filter. In the traditional BP algorithm, the introduction of the maximum likelihood estimation, the training samples can also be considered acts of the network approach to estimate the noise distribution. Salt and pepper noise and model construction for a new robust error function, so that the enhanced anti-jamming algorithm itself. Experimental results show that the algorithm compared with the traditional BP algorithm has better filtering performance.)
- 2010-11-13 00:29:56下载
- 积分：1
