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huise
灰色预测,用于统计学方面,可以进行近段时间的预测,比较简单的程序(Grey, for statistical aspects that can be predicted Recently, a relatively simple procedure)
- 2013-09-13 13:15:02下载
- 积分:1
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videos_in_matlab
Handling videos in MATLAB: This describes various apis that are used for handling videos in matlab.
- 2010-03-10 14:40:58下载
- 积分:1
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Decimation
软件无线电中的信号抽取程序,包括抽取后的频谱分析(software radio signal extraction procedures, including spectral analysis after extraction)
- 2014-01-07 10:38:48下载
- 积分:1
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yaojiushengzhaosheng
自己做的研究生招生系统,增加了学校之间的比较功能,图标显示,分数线预测等(Own graduate admissions system, increases the comparison function between schools, icons, score prediction)
- 2013-12-01 16:01:19下载
- 积分:1
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Simplified Load-Feedforward Control Design for
Imformation about DAB
- 2018-04-05 11:07:37下载
- 积分:1
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STRUCTURAL-BREAKS-ESTIMATION
基于遗传算法的断点估计,对非平稳信号进行分段,使其分段平稳,便于对信号的处理,尤其对于语音信号,非常常用(Based on genetic algorithms breakpoint estimates for non-stationary signal segment, making it piecewise smooth, easy signal processing, especially for the speech signal, very common)
- 2013-04-17 13:54:09下载
- 积分:1
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femForBF2
有限元分析优化,主要基于水平集方法,comsol的二次matlab开发(Finite element analysis and optimization, mainly based on the level set method, comsol matlab development of secondary)
- 2014-02-20 13:07:37下载
- 积分:1
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主成分分析
说明: 核主成分分析方法是将主成分分析方法与核方法的有机融合,核心思想是通过引入核方法将输入空间的数据映射到特征空间,并在特征空间进行主成分分析,实现降维与提取非线性数据特征的双重目标。(The kernel principal component analysis (KPCA) is an organic fusion of principal component analysis (PCA) and kernel method. The core idea is to map the data from input space to feature space by introducing the kernel method, and carry out principal component analysis in feature space, so as to achieve the dual goals of dimensionality reduction and feature extraction of nonlinear data.)
- 2021-03-26 16:10:19下载
- 积分:1
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20130928
周期图法各种改进,周期图法各种改进,周期图法各种改进(Periodogram various improvements)
- 2013-09-28 22:13:12下载
- 积分:1
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Unconstrained-opti-variable-rotation
这是用matlab实现的无约束优化方法 变量轮换法程序
(Unconstrained optimization method variable rotation method program
matlab)
- 2011-12-17 22:36:56下载
- 积分:1