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Chinese Academy of Sciences Institutional Repositories Grid
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数学与系统科学研究院 [3]
长春光学精密机械与物... [1]
中国科学院大学 [1]
深海科学与工程研究所 [1]
西安光学精密机械研究... [1]
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OAI收割 [6]
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期刊论文 [5]
会议论文 [2]
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2023 [1]
2021 [1]
2017 [2]
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2006 [1]
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Blood Glucose Concentration Estimation by Raman Spectroscopy based on Particle Swarm Optimized SVR
会议论文
OAI收割
Virtual, Online, China, 2022-12-18
作者:
Jing, Haonan
;
Fan, Qi
;
Gao, Chi
;
Li, Yiru
;
Fan, Bozhao
  |  
收藏
  |  
浏览/下载:29/0
  |  
提交时间:2023/03/02
blood glucose concentration estimation
Raman spectroscopy
support vector regression
particle swarm optimization
wavelet decomposition
sparse representation
Clark Error Grid
Pruned Distributed and Parallel Subarray Beamforming for 3-D Underwater Imaging With Fine-Grid Sparse Arrays
期刊论文
OAI收割
IEEE JOURNAL OF OCEANIC ENGINEERING, 2021, 卷号: 46, 期号: 4, 页码: 1356-1371
作者:
Zhao, Dongdong
;
Chen, Peng
;
Hu, Yingtian
;
Liang, Ronghua
;
Wang, Haixia
  |  
收藏
  |  
浏览/下载:77/0
  |  
提交时间:2021/11/16
Array signal processing
Imaging
Planar arrays
Indexes
Genetic algorithms
Hardware
Transforms
Acoustic imaging
digital beamforming
fine-grid sparse arrays
pruned fast Fourier transform (FFT)
real-time 3-D underwater imaging
simulated annealing (SA) algorithm
EFFICIENT SPECTRAL SPARSE GRID APPROXIMATIONS FOR SOLVING MULTI-DIMENSIONAL FORWARD BACKWARD SDES
期刊论文
OAI收割
DISCRETE AND CONTINUOUS DYNAMICAL SYSTEMS-SERIES B, 2017, 卷号: 22, 期号: 9, 页码: 3439-3458
作者:
Fu, Yu
;
Zhao, Weidong
;
Zhou, Tao
  |  
收藏
  |  
浏览/下载:26/0
  |  
提交时间:2018/07/30
Spectral method
sparse grid approximations
forward backward stochastic differential equations
conditional expectations
fast Fourier transform
A NODAL SPARSE GRID SPECTRAL ELEMENT METHOD FOR MULTI-DIMENSIONAL ELLIPTIC PARTIAL DIFFERENTIAL EQUATIONS
期刊论文
OAI收割
INTERNATIONAL JOURNAL OF NUMERICAL ANALYSIS AND MODELING, 2017, 卷号: 14, 期号: 4-5, 页码: 762-783
作者:
Rong, Zhijian
;
Shen, Jie
;
Yu, Haijun
  |  
收藏
  |  
浏览/下载:25/0
  |  
提交时间:2018/07/30
Sparse grid
spectral element method
high-dimensional problem
adaptive method
Dlsla 3-d sar imaging algorithm for off-grid targets based on pseudo-polar formatting and atomic norm minimization
期刊论文
iSwitch采集
Science china-information sciences, 2016, 卷号: 59, 期号: 6, 页码: 15
作者:
Bao, Qian
;
Han, Kuoye
;
Peng, Xueming
;
Hong, Wen
;
Zhang, Bingchen
收藏
  |  
浏览/下载:43/0
  |  
提交时间:2019/05/09
Atomic norm minimization
Dlsla 3-d sar
Sparse recovery
Off-grid targets
Pseudo-pfa
3-d imaging
A two-scale sparse grid method for a singularly perturbed reaction-diffusion problem in two dimensions
期刊论文
OAI收割
IMA JOURNAL OF NUMERICAL ANALYSIS, 2009, 卷号: 29, 期号: 4, 页码: 986-1007
作者:
Liu, Fang
;
Madden, Niall
;
Stynes, Martin
;
Zhou, Aihui
  |  
收藏
  |  
浏览/下载:17/0
  |  
提交时间:2018/07/30
reaction-diffusion
finite element
Shishkin mesh
two-scale discretization
sparse grid
Abrupt sensor fault diagnosis based on wavelet network (EI CONFERENCE)
会议论文
OAI收割
2006 IEEE International Conference on Information Acquisition, ICIA 2006, August 20, 2006 - August 23, 2006, Weihai, Shandong, China
作者:
Li W.
;
Li W.
;
Zhang H.
;
Zhang H.
收藏
  |  
浏览/下载:18/0
  |  
提交时间:2013/03/25
The possible faults of a sensor may be classified as abrupt (sudden) faults and incipient (slowly developing) faults. This paper focuses on the abrupt faults of a sensor. Due to the limited number of scales
a single wavelet amplitude map has not enough scales to describe all details of the signal. The sampling grid in the scale direction is rather sparse
Some of the fault information will be leaked under such sparse grid. To make up for the deficiency of scalar orthogonal wavelet transform in the application of abrupt fault diagnosis
multiwavelet packets transform was introduced into the field of abrupt fault diagnosis. The distribution differences of the signal energy on decomposed multiwavelet scales of the signal before and after the fault occurring are extracted as the fault feature and used as the input of multi-dimensional wavelet network. A new model-free diagnostic method for isolating abrupt sensor faults is developed based on a proposed algorithm of multi-dimensional wavelet network constructing. The method has been proved to be quite effective in the detection of sensor abrupt fault. 2006 IEEE.