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Efficient Blind Signal Reconstruction With Wavelet Transforms Regularization for Educational Robot Infrared Vision Sensing

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成果类型:
期刊论文
作者:
Liu, Tingting;Liu, Hai*;Li, Youfu;Zhang, Zhaoli;Liu, Sannyuya
通讯作者:
Liu, Hai
作者机构:
[Liu, Sannyuya; Liu, Tingting; Zhang, Zhaoli; Liu, Hai] Cent China Normal Univ, Natl Engn Res Ctr E Learning, Wuhan 430079, Hubei, Peoples R China.
[Liu, Tingting] Carnegie Mellon Univ, Sch Comp Sci, Pittsburgh, PA 15213 USA.
[Li, Youfu; Liu, Hai] City Univ Hong Kong, Dept Mech Engn, Hong Kong, Peoples R China.
通讯机构:
[Liu, Hai] C
Cent China Normal Univ, Natl Engn Res Ctr E Learning, Wuhan 430079, Hubei, Peoples R China.
语种:
英文
关键词:
FTIR imaging spectrometers;instrumentation;mechatronics industry;optical data processing;robot vision;wavelet transforms
期刊:
IEEE-ASME Transactions on Mechatronics
ISSN:
1083-4435
年:
2019
卷:
24
期:
1
页码:
384-394
基金类别:
10.13039/501100012166-National Basic Research Program of China (973 Program) (Grant Number: 2017YFB1401300 and 2017YFB1401303) 10.13039/501100001809-National Natural Science Foundation of China (Grant Number: 61875068, 61873220 and 61505064) Hong Kong Scholars Programs (Grant Number: XJ2016063) Specific Funding for Education Science Research by Self-determined Research Funds (Grant Number: CCNU18ZDPY10 and CCNU16JYKX031)
机构署名:
本校为第一且通讯机构
院系归属:
国家数字化学习工程技术研究中心
摘要:
Fourier transform infrared (FTIR) imaging spectrometers are often corrupted by the problems of band overlap and random noise during the infrared spectrum acquisition process. Such noise would degrade the quality of the acquired infrared spectrum, limiting the precision of the subsequent processing. In this paper, we present a novel blind reconstruction method with wavelet transform regularizations for infrared spectrum obtained from the aging instrument. Inspired by the finding that the wavelet coefficient distribution of the clean spectrum is sparser than that of the degraded spectrum, a blin...

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