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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 [7]
长春光学精密机械与物... [4]
成都山地灾害与环境研... [2]
遥感与数字地球研究所 [2]
苏州纳米技术与纳米仿... [1]
宁波材料技术与工程研... [1]
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OAI收割 [19]
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会议论文 [7]
期刊论文 [6]
SCI/SSCI论文 [5]
EI期刊论文 [1]
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2019 [1]
2018 [2]
2015 [1]
2014 [1]
2013 [4]
2012 [3]
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Exploring Douglas-Peucker Algorithm in the Detection of Epileptic Seizure from Multicategory EEG Signals
期刊论文
OAI收割
BIOMED RESEARCH INTERNATIONAL, 2019, 卷号: 2019
作者:
Zarei, Roozbeh
;
He, Jing
;
Siuly, Siuly
;
Huang, Guangyan
;
Zhang, Yanchun
  |  
收藏
  |  
浏览/下载:41/0
  |  
提交时间:2019/12/18
SUPPORT VECTOR MACHINES
FEATURE-EXTRACTION
NEURAL-NETWORK
APPROXIMATE ENTROPY
WAVELET TRANSFORM
CLASSIFICATION
SIMPLIFICATION
REPRESENTATION
METHODOLOGY
REDUCTION
Application of different clustering approaches to hydro-climatological catchment regionalization in mountainous regions, a case study in Utah State
期刊论文
OAI收割
Journal of Mountain Science, 2018, 卷号: 15, 期号: 3, 页码: 461-484
作者:
Elnaz SHARGHI
;
Vahid NOURANI
;
Saeed SOLEIMANI
;
Fahreddin SADIKOGLU
  |  
收藏
  |  
浏览/下载:51/0
  |  
提交时间:2018/07/13
Catchment clustering
K-means
Ward
Self-Organized Map
Wavelet – Entropy
Utah
Application of different clustering approaches to hydro-climatological catchment regionalization in mountainous regions, a case study in Utah State
期刊论文
OAI收割
Journal of Mountain Science, 2018, 卷号: 15, 期号: 3, 页码: 461-484
作者:
Elnaz SHARGHI
;
Vahid NOURANI
;
Saeed SOLEIMANI
;
Fahreddin SADIKOGLU
  |  
收藏
  |  
浏览/下载:22/0
  |  
提交时间:2018/07/13
Catchment clustering
K-means
Ward
Self-Organized Map
Wavelet – Entropy
Utah
Gradation of complexity and predictability of hydrological processes
SCI/SSCI论文
OAI收割
2015
作者:
Sang Y. F.
;
Singh, V. P.
;
Wen, J.
;
Liu, C. M.
收藏
  |  
浏览/下载:34/0
  |  
提交时间:2015/12/09
hydrological processes
complexity
predictability
climate change
modeling
multiscale entropy analysis
time-series
information-theory
practical
guide
wavelet
variability
basin
china
Regional and Entropy component analysis based remote sensing images fusion
期刊论文
OAI收割
JOURNAL OF INTELLIGENT & FUZZY SYSTEMS, 2014, 卷号: 26, 期号: 3, 页码: 1279-1287
Luo, XQ (Luo, Xiaoqing)
;
Wu, XJ (Wu, Xiaojun)
;
Zhang, ZC (张战成)
收藏
  |  
浏览/下载:18/0
  |  
提交时间:2014/12/19
Regional
entropy component analysis
statistical model
image fusion
stationary wavelet transform
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
A review on the applications of wavelet transform in hydrology time series analysis
SCI/SSCI论文
OAI收割
2013
Sang Y. F.
收藏
  |  
浏览/下载:31/0
  |  
提交时间:2014/12/24
Hydrologic time series analysis
Wavelet transform
Periodicity
Trend
De-noising
Complexity
Hydrologic forecasting
multiscale entropy analysis
artificial neural-networks
information-theory
noise-reduction
rainfall fields
trend analysis
river flow
model
uncertainty
multiresolution
Improved continuous wavelet analysis of variation in the dominant period of hydrological time series
EI期刊论文
OAI收割
2013
作者:
Sang Yan-Fang
收藏
  |  
浏览/下载:23/0
  |  
提交时间:2014/12/31
Maximum entropy methods
Spectrum analysis
Time series
Wavelet analysis
Wavelet transforms
水文时间序列分析方法研究进展
期刊论文
OAI收割
地理科学进展, 2013, 卷号: 32, 期号: 1, 页码: 20
作者:
桑燕芳
;
王中根
;
刘昌明
  |  
收藏
  |  
浏览/下载:47/0
  |  
提交时间:2023/05/29
hydrological time series analysis
uncertainty
wavelet analysis
information entropy
nonlinearity
chaos
coupling
水文时间序列分析
不确定性
小波分析
信息熵
非线性
混沌性
耦合
Image coding using wavelet-based compressive sampling (EI CONFERENCE)
会议论文
OAI收割
2012 5th International Symposium on Computational Intelligence and Design, ISCID 2012, October 28, 2012 - October 29, 2012, Hangzhou, China
作者:
Li J.
;
Li J.
;
Li J.
收藏
  |  
浏览/下载:43/0
  |  
提交时间:2013/03/25
In this paper
we proposed a novel coding scheme is proposed using wavelet-based CS framework for nature image. First
two-dimension discrete wavelet transform (DWT) is applied to a nature image for sparse representation. After multi-scale DWT
the low-frequency sub-band and high-frequency sub-bands are re-sampled separately. According to the statistical dependences among DWT coefficients
we allocate different measurements to low- and high-frequency component. Then
the measurements samples can be quantized. The quantize samples are entropy coded and forward correct coding (FEC). Finally
the compressed streams are transmitted. At the decoder
one can simply reconstruct the image via l1 minimization. Experimental results show that the proposed wavelet-based CS scheme achieves better compression performance against the relevant existing solutions.