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基于加权l1范数的稀疏信号重建 RL1
基于加权l1范数的稀疏信号重建，稀疏信号是带噪声的(Sparse signal reconstruction based on the weighted l1 norm sparse signal with noise)
- 2020-10-28 16:19:57下载
- 积分：1
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MARKOV
隐马尔科夫过程预测编码，对于使用或研究隐马尔科夫模型的人会有帮助。(Hidden Markov process predictive coding, for the use of hidden Markov models or research who will help.)
- 2013-10-14 22:17:02下载
- 积分：1
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juleirbf
jureilbf neural network
- 2012-10-02 03:02:31下载
- 积分：1
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svm pca
使用svm进行数据的预测，首先进行pca对数据进行主元分析，提取有用信息，结果显示数据拟合效果非常好(SVM is used to predict data. first, PCA is used to analyze the data and extract useful information. the results show that the data fitting effect is very good.)
- 2019-01-30 00:04:35下载
- 积分：1
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knn-code
给定一个样本集exset，样本数为M，每个样本点是N维向量，对于给定目标点d，d也为N维向量，要从exset中找出与d距离最近的k个点(k<=N)(knn code c++)
- 2012-04-13 11:34:28下载
- 积分：1
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最新的支持向量机工具箱，有了它会很方便-svm_v0.55beta
最新的支持向量机工具箱，有了它会很方便 1. Find time to write a proper list of things to do! 2. Documentation. 3. Support Vector Regression. 4. Automated model selection. REFERENCES ========== [1] V.N. Vapnik, "The Nature of Statistical Learning Theory", Springer-Verlag, New York, ISBN 0-387-94559-8, 1995. [2] J. C. Platt, "Fast training of support vector machines using sequential minimal optimization", in Advances in Kernel Methods - Support Vector Learning, (Eds) B. Scholkopf, C. Burges, and A. J. Smola, MIT Press, Cambridge, Massachusetts, chapter 12, pp 185-208, 1999. [3] T. Joachims, "Estimating the Generalization Performance of a SVM Efficiently", LS-8 Report 25, Universitat Dortmund, Fachbereich Informatik, 1999. (The newest work tools of svm,it will be very convenient to have it.)
- 2005-03-29 14:06:00下载
- 积分：1
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jeofon.m
calculate the response of geophon
- 2011-01-22 21:50:32下载
- 积分：1
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Desktop
数字图像处理实验二数字图像处理实验三
数字图像处理实验一
(Digital Image Processing Digital Image Processing Experiment II Experiment III Experiment of a digital image processing)
- 2010-12-12 11:46:41下载
- 积分：1
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MATLAB
详细的说明了如何使用该数学软件，很容易学！(Detailed instructions on how to use the mathematical software, it is easy to learn
)
- 2012-04-08 17:23:41下载
- 积分：1
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rmbaseline
对一维脉冲信号可去除基底，且做结构函数分析。如果是二维信号，可进行动态谱分析，进行二维高斯函数拟合(Can remove the base and do the structure function analysis of the one-dimensional pulse signal. If it is a two-dimensional signal dynamic spectral analysis, two-dimensional Gaussian function fitting)
- 2013-04-10 11:09:19下载
- 积分：1
