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Chinese Academy of Sciences Institutional Repositories Grid
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CAS IR Grid
机构
地理科学与资源研究所 [5]
新疆生态与地理研究所 [1]
长春光学精密机械与物... [1]
西双版纳热带植物园 [1]
数学与系统科学研究院 [1]
沈阳自动化研究所 [1]
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OAI收割 [10]
内容类型
期刊论文 [7]
会议论文 [2]
SCI/SSCI论文 [1]
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2021 [1]
2018 [1]
2016 [3]
2015 [2]
2013 [1]
2012 [1]
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Fault Diagnosis Based on Multi-scale LSTM-FCNs for Industrial Process
会议论文
OAI收割
Chengdu, China, December 17-18, 2021
作者:
Yang SJ(阳少杰)
;
Li P(里鹏)
;
Li S(李帅)
;
Zhou XF(周晓锋)
;
Jiang, Shanghong
  |  
收藏
  |  
浏览/下载:55/0
  |  
提交时间:2022/04/13
industrial process
fault diagnosis
multi-scale feature extraction
deep neural networks
variational mode decomposition
Scale-Specific Controller of Carbon and Water Exchanges Over Wheat Field Identified by Ensemble Empirical Mode Decomposition
期刊论文
OAI收割
INTERNATIONAL JOURNAL OF PLANT PRODUCTION, 2018, 卷号: 12, 期号: 1, 页码: 43-52
作者:
He, Liang
;
Li, Jun
;
Harahap, Mahrita
;
Yu, Qiang
  |  
收藏
  |  
浏览/下载:31/0
  |  
提交时间:2019/05/30
Multi-scale
NEE
LE
Environmental factor
Ensemble empirical mode decomposition
Impacts of energy consumption, energy structure, and treatment technology on SO2 emissions: A multi-scale LMDI decomposition analysis in China
期刊论文
OAI收割
APPLIED ENERGY, 2016, 卷号: 184, 页码: 714-726
作者:
Yang, Xue
;
Wang, Shaojian
;
Zhang, Wenzhong
;
Li, Jiaming
;
Zou, Yafeng
  |  
收藏
  |  
浏览/下载:48/0
  |  
提交时间:2019/09/26
Sulfur dioxide emissions
Energy-related factors
Multi-scale decomposition
China
Impacts of energy consumption, energy structure, and treatment technology on SO2 emissions: A multi-scale LMDI decomposition analysis in China
期刊论文
OAI收割
APPLIED ENERGY, 2016, 卷号: 184, 页码: 714-726
作者:
Yang, Xue
;
Wang, Shaojian
;
Zhang, Wenzhong
;
Li, Jiaming
;
Zou, Yafeng
  |  
收藏
  |  
浏览/下载:13/0
  |  
提交时间:2019/09/26
Sulfur dioxide emissions
Energy-related factors
Multi-scale decomposition
China
Impacts of energy consumption, energy structure, and treatment technology on SO2 emissions: A multi-scale LMDI decomposition analysis in China
期刊论文
OAI收割
APPLIED ENERGY, 2016, 卷号: 184, 页码: 714-726
作者:
Yang, Xue
;
Wang, Shaojian
;
Zhang, Wenzhong
;
Li, Jiaming
;
Zou, Yafeng
  |  
收藏
  |  
浏览/下载:15/0
  |  
提交时间:2019/09/26
Sulfur dioxide emissions
Energy-related factors
Multi-scale decomposition
China
Linear and nonlinear Granger causality investigation between carbon market and crude oil market: A multi-scale approach
期刊论文
OAI收割
ENERGY ECONOMICS, 2015, 卷号: 51, 页码: 300-311
作者:
Yu, Lean
;
Li, Jingjing
;
Tang, Ling
;
Wang, Shuai
  |  
收藏
  |  
浏览/下载:33/0
  |  
提交时间:2018/07/30
Bivariate empirical mode decomposition
Nonlinear Granger causality test
Multi-scale analysis
Carbon market
Crude oil market
集合经验模态分解在长江中下游梅雨变化多尺度分析中的应用[J]
期刊论文
OAI收割
长江流域资源与环境, 2015, 卷号: 3, 页码: 482-488
作者:
  |  
收藏
  |  
浏览/下载:125/0
  |  
提交时间:2017/12/29
集合经验模态分解
多尺度变化
梅雨
长江中下游流域
Ensemble
Empirical
Mode
Decomposition
Multi-scale
Analysis
Meiyu
The
Middle-lower
Reaches
Of
Yangtze
River
Improved continuous wavelet analysis of variation in the dominant period of hydrological time series
SCI/SSCI论文
OAI收割
2013
作者:
Wang D.
收藏
  |  
浏览/下载:14/0
  |  
提交时间:2014/12/24
hydrological series analysis
continuous wavelet transform
wavelet
basis function
multi-temporal scale
wavelet spectrum
period
trend
change points
maximum entropy spectral analysis
de-noising
entropy spectral-analysis
decomposition
identification
transform
threshold
model
Analysis of reconstructed annual precipitation from tree-rings for the past 500 years in the middle Qilian Mountain
期刊论文
OAI收割
SCIENCE CHINA-EARTH SCIENCES, 2012, 卷号: 55, 期号: 5, 页码: 770-778
作者:
Fan, ZX
收藏
  |  
浏览/下载:12/0
  |  
提交时间:2012/06/11
Qilian Mountain
tree-ring reconstruction
empirical mode decomposition
multi-scale precipitation variability
Destriping method using lifting wavelet transform of remote sensing image (EI CONFERENCE)
会议论文
OAI收割
2010 International Conference on Computer, Mechatronics, Control and Electronic Engineering, CMCE 2010, August 24, 2010 - August 26, 2010, Changchun, China
作者:
He B.
收藏
  |  
浏览/下载:30/0
  |  
提交时间:2013/03/25
Based on the characteristic of striping noise in remote sensing images
a new destriping noise technique for the improved multi-threshold method using lifting wavelet transform applied to remote sensing imagery is presented in this letter. Have used the lifting wavelet decomposition algorithm
the thresholds are determined by corresponding wavelet coefficients in every scale. Remote sensing imagery is so large that the algorithm must be fast and effective. The lifting wavelet transform is easily realized and inexpensive in computer time and storage space compared with the traditional wavelet transform. We also compare the method with some traditional destriping methods both by visual inspection and by appropriate indexes of quality of the denoised images. From the comparison we can see that the adaptive threshold method can preserve the spectral characteristic of the images while effectively remove striping noise and it did better than the existed ones. 2010 IEEE.