中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
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CAS IR Grid
机构
地质与地球物理研究所 [6]
数学与系统科学研究院 [3]
高能物理研究所 [3]
地理科学与资源研究所 [2]
长春光学精密机械与物... [2]
沈阳自动化研究所 [2]
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OAI收割 [22]
iSwitch采集 [1]
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期刊论文 [21]
会议论文 [2]
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2023 [1]
2022 [2]
2021 [1]
2020 [2]
2019 [4]
2018 [5]
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Astronomy ... [1]
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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:4/0
  |  
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
Noise removal for semi-airborne data using wavelet threshold and singular value decomposition
期刊论文
OAI收割
JOURNAL OF APPLIED GEOPHYSICS, 2022, 卷号: 201, 页码: 11
作者:
Lv, Pengfei
;
Wu, Xin
;
Zhao, Yang
;
Chang, Jianghao
  |  
收藏
  |  
浏览/下载:48/0
  |  
提交时间:2022/07/18
Semi-airborne transient electromagnetic
method
Short-time sliding window
Singular spectrum decomposition
Wavelet threshold method
Noise processing
A Multispectral Denoising Framework for Seismic Random Noise Attenuation
期刊论文
OAI收割
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2022, 卷号: 60, 页码: 17
作者:
Lin, Yi
;
Zhang, Jinhai
  |  
收藏
  |  
浏览/下载:33/0
  |  
提交时间:2022/07/04
Tensors
Noise measurement
Noise reduction
Transforms
Attenuation
Time-frequency analysis
Matrix decomposition
3-D tensor
low rank
multispectral denoising framework (MDF)
random noise attenuation
seismic data processing
Retrieving Sun-Induced Chlorophyll Fluorescence from Hyperspectral Data with TanSat Satellite
期刊论文
OAI收割
SENSORS, 2021, 卷号: 21, 期号: 14, 页码: 13
作者:
Li, Shilei
;
Gao, Maofang
;
Li, Zhao-Liang
  |  
收藏
  |  
浏览/下载:41/0
  |  
提交时间:2021/11/05
singular value decomposition (SVD)
solar-induced chlorophyll fluorescence (SIF)
TanSat satellite
Bayesian Information Criterion (BIC)
基于奇异谱分析的航空客运需求分析与分解集成预测模型
期刊论文
OAI收割
系统工程理论与实践, 2020, 卷号: 40.0, 期号: 007, 页码: 1844-1855
作者:
梁小珍
;
郭战坤
;
张倩文
;
杨明歌
;
汪寿阳
  |  
收藏
  |  
浏览/下载:16/0
  |  
提交时间:2021/01/14
航空客运需求
奇异谱分析
排列熵
支持向量回归
分解集成预测
Compressive Subspace Learning With Antenna Cross-Correlations for Wideband Spectrum Sensing
期刊论文
OAI收割
IEEE TRANSACTIONS ON COMMUNICATIONS, 2020, 卷号: 68, 期号: 9, 页码: 5406-5419
作者:
Gong TR(宫铁瑞)
;
Yang ZJ(杨志家)
;
Zheng M(郑萌)
;
Liu ZF(刘志峰)
;
Wang GS(王庚善)
  |  
收藏
  |  
浏览/下载:15/0
  |  
提交时间:2020/10/10
MIMO communication
Correlation
Sensors
Wideband
Receiving antennas
Spatial diversity
Compressive subspace learning
wideband spectrum sensing
cognitive radio
MIMO
antenna cross-correlation
Enhancing Image Watermarking With Adaptive Embedding Parameter and PSNR Guarantee
期刊论文
OAI收割
IEEE TRANSACTIONS ON MULTIMEDIA, 2019, 卷号: 21, 期号: 10, 页码: 2447-2460
作者:
Huang, Ying
;
Niu, Baoning
;
Guan, Hu
;
Zhang, Shuwu
  |  
收藏
  |  
浏览/下载:274/0
  |  
提交时间:2019/12/16
Adaptive watermarking
differential quantization
image watermarking
spread spectrum
Denoising scheme based on singular-value decomposition for one-dimensional spectra and its application in precision storage-ring mass spectrometry
期刊论文
OAI收割
PHYSICAL REVIEW E, 2019, 卷号: 99, 期号: 6, 页码: 10
作者:
Zhang, Y. H.
;
Wang, Q.
;
Wang, M.
;
Litvinov, Yu A.
;
Chen, X. C.
  |  
收藏
  |  
浏览/下载:48/0
  |  
提交时间:2019/11/10
A New Approach for Stock Price Analysis and Prediction Based on SSA and SVM
期刊论文
OAI收割
INTERNATIONAL JOURNAL OF INFORMATION TECHNOLOGY & DECISION MAKING, 2019, 卷号: 18, 期号: 1, 页码: 287-310
作者:
Xiao, Jihong
;
Zhu, Xuehong
;
Huang, Chuangxia
;
Yang, Xiaoguang
;
Wen, Fenghua
  |  
收藏
  |  
浏览/下载:56/0
  |  
提交时间:2019/03/11
Stock price
singular spectrum analysis
support vector machine
combined model
A load classification framework based on VMD and singular value energy difference spectrum
会议论文
OAI收割
Nanjing, China, May 27-31, 2019
作者:
Chen, Shuo
;
Guo, Kunya
;
Zeng, Peng
;
Lv, Xunming
;
Jia, Zhida
  |  
收藏
  |  
浏览/下载:8/0
  |  
提交时间:2019/09/15
VMD
energy difference spectrum
load classification
compactness