中国科学院机构知识库网格系统: 检索

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	Detection of Periodic Signals With Time-Varying Coefficients From CMONOC Stations in China by Singular Spectrum Analysis 期刊论文 OAI收割 IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2023, 卷号: 61, 页码: 5802812 作者: Wu, Shuguang; Li, Zhao; Li, Houpu; Bian, Shaofeng; Ouyang, Hua \| 收藏 \| 浏览/下载：13/0 \| 提交时间：2024/01/04 Crustal Movement Observation Network of China (CMONOC) stations periodic signals with time-varying coefficients (PSTC) root mean square error (RMSE) improve-ment rate singular spectrum analysis (SSA) method
	Window length selection of singular spectrum analysis and application to precipitation time series 期刊论文 OAI收割 GLOBAL NEST JOURNAL, 2017, 卷号: 19, 期号: 2, 页码: 306-317 作者: Sun, Mingdong; Li, Xuyong \| 收藏 \| 浏览/下载：174/0 \| 提交时间：2018/07/20 Singular Spectrum Analysis (Ssa) Window Length Periodogram Analysis Linear Recurrent Formula (Lrf)
	SSA based decomposition of tool position trajectory for diamond turning of freeform optical surfaces (EI CONFERENCE) 会议论文 OAI收割 2009 International Conference on Manufacturing Science and Engineering, ICMSE 2009, December 26, 2009 - December 28, 2009, Zhuhai, China 作者: Liu Q.; Lin C. 收藏 \| 浏览/下载：19/0 \| 提交时间：2013/03/25 The radial spiral feed of the tool and the tool nose radius compensation are taken into consideration for the tool position trajectory (TPT) generation in diamond turning of freeform optical surfaces. Using the coarse sampling and the fine interpolation a novel approach based on singular spectrum analysis (SSA) is presented to decompose the generated TPT into a slowly varying trend and a quickly varying quasi-periodic oscillation. The numerical experiments of the TPT decomposition of toroidal surfaces have been carried out. The results verify that the proposed approach is very effective for the TPT decomposition. (2010) Trans Tech Publications.