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interp_correlation1
信号提取是信号处理的一个重要技术,如何评价提取信号的性能,相关系数就是一个很好的评价指标!(signal from the signal processing is an important technology, how to assess the performance of signal extraction, the correlation coefficient is a good evaluation index!)
- 2006-06-29 17:05:11下载
- 积分:1
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regression-
计量经济学的统计回归相关工具包,包括最优化、VAR-CVAR(toolboxes related in statistics and regression, including optimization and VAR-CVAR model)
- 2011-06-10 00:20:29下载
- 积分:1
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cogenerazione_fun
cogeneration function, plot costs, combustible mass, user needs
- 2011-06-24 16:51:38下载
- 积分:1
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gaussian-mixture-model
高丝混合模型,内涵matlab程序,用EM算法(Kose hybrid model, the connotation matlab program, using the EM algorithm)
- 2014-11-16 15:55:38下载
- 积分:1
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Genetic-Algorithms
使用matlab编写的遗传算法的程序,程序已经调试完毕可以直接使用(The genetic algorithm using matlab program, the program has finished debugging can be used directly)
- 2013-04-02 14:31:36下载
- 积分:1
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DataPlot
从IMU中提取数据,计算出速度、位移,从而得到运动轨迹,实现定位功能(Calculate velocity and displacement data of IMU, thus we can get movement track and achieve locate function.)
- 2020-09-14 17:17:58下载
- 积分:1
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multiobjectoptimization
关于多目标优化的几个具体程序,matlab编写,可供初学者学习分享(Several multi-objective optimization on specific procedures, matlab write, for beginners to learn to share)
- 2010-07-02 11:12:44下载
- 积分:1
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Kalmanfiltersgps
一个老外编的卡尔曼滤波的matlab程序,内有详细说明,英文(A foreigner series of Kalman filter matlab program, there are detailed instructions in English)
- 2010-08-12 23:32:18下载
- 积分:1
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FFT
FFT sample matlab code
- 2013-12-11 14:21:57下载
- 积分:1
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inpainting
For using this code need to use signal toolbox and general toolbox in your matlab
Inpainting using sparse regularization. Consider the pepper image with many missing
pixels.
Assume that the image is noisy-free.
(a) Inpaint the image by using orthogonal wavelet sparsity.
(b) Inpaint the image by using a different sparsity prior.
Based on the outputs, it is clear that the inpainting result obtain by Sobolev is much better than
other methods (i.e. Orthogonal wavelet sparsity and Invariant wavelet sparsity).
- 2013-12-11 17:30:22下载
- 积分:1