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Description: 多通道奇异谱分析程序，可用于时间序列多尺度分析，多尺度比对与拼接等。-multi-channel singular spectrum analysis procedures can be used for time-series analysis of multi-scale, multi-scale compared with other combinations.
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Size: 15291 |
Author: mapleyu |
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Description: 书名：Idea.Group.Publishing.Multimedia.Security.Steganography.and.Digital.Watermarking.Techniques.for.Protection.of.Intellectual.Property.eBook-YYePG
书中介绍彩信的开发及运用。
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Size: 3689551 |
Author: 黄涛 |
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Description: 多通道奇异谱分析程序，可用于时间序列多尺度分析，多尺度比对与拼接等。-multi-channel singular spectrum analysis procedures can be used for time-series analysis of multi-scale, multi-scale compared with other combinations.
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Size: 15360 |
Author: mapleyu |
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Description: 书名：Idea.Group.Publishing.Multimedia.Security.Steganography.and.Digital.Watermarking.Techniques.for.Protection.of.Intellectual.Property.eBook-YYePG
书中介绍彩信的开发及运用。-Title: Idea.Group.Publishing.Multimedia.Security.Steganography.and.Digital.Watermarking.Techniques.for.Protection.of.Intellectual.Property.eBook-YYePG book introduce the development and application of MMS.
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Size: 3689472 |
Author: 黄涛 |
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Description: 多频道奇异谱分析，即奇异谱分析的升级版，广泛应用于气象变化，股市波动，降噪等领域。-Multi-channel singular spectrum analysis, that singular spectrum analysis of an upgraded version of the widely used weather changes, stock market volatility, noise reduction and other areas.
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Size: 2048 |
Author: 王强 |
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Description: Multi-Singular Spectrum Analysis, MSSA eigenvalues
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Size: 2048 |
Author: Henry |
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Description: Multi-Singular Spectrum Analysis, MSSA
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Size: 2048 |
Author: Henry |
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Description: MSSA分解，主要分析对象是L维时间序列的分析，由单通道向多通道的过度-is name
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Size: 2048 |
Author: 邱荣海 |
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Description: 多通道奇异谱分析程序，可用于时间序列多尺度分析，多尺度比对与拼接等。(multi-channel singular spectrum analysis procedures can be used for time-series analysis of multi-scale, multi-scale compared with other combinations.)
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Size: 14336 |
Author: 陌陌1 |
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Description: his work proposes two novel optimization algorithms called Salp Swarm Algorithm (SSA) and Multiobjective Salp Swarm Algorithm (MSSA) for solving optimization problems with single and multiple objectives. The main inspiration of SSA and MSSA is the swarming behaviour of salps when navigating and
foraging in oceans. These two algorithms are tested on several mathematical optimization functions to
observe and confirm their effective behaviours in finding the optimal solutions for optimization problems.
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Size: 3279872 |
Author: na9696 |
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