Resource Type

Journal Article 42

Year

2024 1

2023 3

2022 3

2021 1

2020 3

2019 2

2018 2

2017 7

2016 5

2014 1

2012 3

2011 3

2010 1

2008 2

2005 1

2004 1

2001 1

2000 1

open ︾

Keywords

Spectral clustering 3

power spectral density 3

Machine learning 2

Spectral 2

spectral reflectance 2

Salmonella 1

Academic literature retrieval 1

Air traffic management 1

Analysis filter 1

Anchors 1

Antibiotic contamination 1

Biochemical indicators 1

Box-Behnken method 1

Broad spectral protection 1

COBRA 1

Chrestenson cyclic spectrum 1

Clustering 1

Cocktail party problem 1

Collaborative filtering (CF) 1

open ︾

Search scope:

排序: Display mode:

Colocated MIMO radar waveform-design based on two-step optimizations in spatial and spectral domains Article

Yu-xi WANG, Guo-ce HUANG, Wei LI, Jin-liang LI

Frontiers of Information Technology & Electronic Engineering 2017, Volume 18, Issue 7,   Pages 1021-1032 doi: 10.1631/FITEE.1601726

Abstract: multiple-input multiple-output radar waveform-design method based on two-step optimizations in the spatial and spectraloptimal solution can be achieved in polynomial time through a semi- definite relaxation followed by spectralfactorization.influencing the shape of the optimized beam pattern, the transmit waveforms are further optimized in the spectraldomain, and the desired spectral nulling is formed to avoid radar interference on the overlaid licensed

Keywords: Multiple-input multiple-output (MIMO) radar     Waveform design     Spectral factorization     Fractional quadratically    

Non-negativematrix factorization based unmixing for principal component transformed hyperspectral data

Xiu-rui GENG,Lu-yan JI,Kang SUN

Frontiers of Information Technology & Electronic Engineering 2016, Volume 17, Issue 5,   Pages 403-412 doi: 10.1631/FITEE.1600028

Abstract: Non-negative matrix factorization (NMF) has been widely used in mixture analysis for hyperspectral remoteWhen used for spectral unmixing analysis, however, it has two main shortcomings: (1) since the dimensionality

Keywords: Non-negative matrix factorization (NMF)     Principal component analysis (PCA)     Endmember     Hyperspectral    

Applying the spectral stochastic finite element method in multiple-random field RC structures

Abbas YAZDANI

Frontiers of Structural and Civil Engineering 2022, Volume 16, Issue 4,   Pages 434-447 doi: 10.1007/s11709-022-0820-6

Abstract: This paper uses the spectral stochastic finite element method (SSFEM) for analyzing reinforced concrete

Keywords: uncertainty     spectral stochastic finite element method     correlation length     reliability assessment     reinforced    

Fault feature extraction of planet gear in wind turbine gearbox based on spectral kurtosis and time wavelet

Yun KONG, Tianyang WANG, Zheng LI, Fulei CHU

Frontiers of Mechanical Engineering 2017, Volume 12, Issue 3,   Pages 406-419 doi: 10.1007/s11465-017-0419-0

Abstract: the fault feature of planet gear effectively, we propose a novel feature extraction method based on spectralFirstly, the spectral kurtosis (SK) and kurtogram of raw vibration signals are computed and exploited

Keywords: wind turbine     planet gear fault     feature extraction     spectral kurtosis     time wavelet energy spectrum    

Fast implementation of kernel simplex volume analysis based on modified Cholesky factorization for endmember

Jing LI,Xiao-run LI,Li-jiao WANG,Liao-ying ZHAO

Frontiers of Information Technology & Electronic Engineering 2016, Volume 17, Issue 3,   Pages 250-257 doi: 10.1631/FITEE.1500244

Abstract: A novel approach tackles the second issue by initially using a modified Cholesky factorization to decomposeTheoretical analysis and experiments on both simulated and real spectral data demonstrate that the proposed

Keywords: Endmember extraction     Modified Cholesky factorization     Spatial pixel purity index (SPPI)     New simplex    

A Miniature Meta-Optical System for Reconfigurable Wide-Angle Imaging and Polarization-Spectral Detection

Fei Zhang,Minghao Liao,Mingbo Pu,Yinghui Guo,Lianwei Chen,Xiong Li,Qiong He,Tongtong Kang,Xiaoliang Ma,Yuan Ke,Xiangang Luo,

Engineering doi: 10.1016/j.eng.2023.07.008

Abstract: Wide-angle imaging and spectral detection play vital roles in tasks such as target tracking, object classificationproof-of-concept demonstration, the simultaneous implementation of wide-angle imaging and polarization-spectralThe proposed system supports the imaging (spectral) resolution of approximately 27.8 line-pairs per millimeter(lp·mm−1; ∼80 nm) for an imaging (spectral) mode from 8 to 14 μm.

Keywords: Metasurfaces     Reconfigurable     Imaging     Spectral    

Nongray radiation from gas and soot mixtures in planar plates based on statistical narrow-band spectral

Huaqiang CHU, Qiang CHENG, Huaichun ZHOU, Fengshan LIU

Frontiers in Energy 2011, Volume 5, Issue 2,   Pages 149-158 doi: 10.1007/s11708-010-0124-8

Abstract: Based on the statistical narrow-band (SNB) spectral model with an exponential-tailed inverse intensity

Keywords: soot     combustion     SNB model     nongray radiation    

Application of spectral technology in flame measurement

Jiaxun LIU, Xiaoshu CAI, Zenghao ZHU, Huinan YANG

Frontiers in Energy 2014, Volume 8, Issue 1,   Pages 138-143 doi: 10.1007/s11708-013-0283-5

Abstract: Spectral technology has become an important detection method due to its advantages such as non-intrusiveIn this paper, two applications of spectral technology in thermal detection were proposed.

Keywords: spectrum     emissivity measurement     component of fuel     near-infrared spectrometer    

Spectral characteristics of plant communities from salt marshes: A case study from Chongming Dongtan,

ZHANG Liquan, GAO Zhanguo, Armitage Richard, Kent Martin

Frontiers of Environmental Science & Engineering 2008, Volume 2, Issue 2,   Pages 187-197 doi: 10.1007/s11783-008-0004-1

Abstract: The spectral reflectance of recently formed salt marshes at the mouth of the Yangtze River, which areSpectral data were processed concerning reflectance, and the averaged reflectance values for each samplewere re-analysed to correspond to a 12-waveband bandset of the Compact Airborne Spectral Imager.The spectral data were summarised using principal components analysis (PCA) and the relationships betweenthe vegetation composition, and the PCA axes of spectral data were examined.

Keywords: Spectral     multi-seasonal hyperspectral     invasive     JR     re-analysed    

Spectral element modeling based structure piezoelectric impedance computation and damage identification

Zhigang GUO, Zhi SUN

Frontiers of Structural and Civil Engineering 2011, Volume 5, Issue 4,   Pages 458-464 doi: 10.1007/s11709-011-0133-7

Abstract: The numerical model is set up using the spectral element method, which is promised to be of high numerical

Keywords: PZT     piezoelectric impedance     optimization     spectral element     damage identification    

Technology of Measurement and Control by Welding Arc Spectral Information and Its Application

Li Junyue,Yang Yunqiang,Li Huan,Zhang Xiaonan,Yang Lijun

Strategic Study of CAE 2001, Volume 3, Issue 7,   Pages 21-29

Abstract:

Welding arc is full of spectral information.situation of the research on this field, expounded the principle of measurement and control by welding arc spectralinformation, described the application situation of welding arc spectral information, for example, theAt the same time, the authors have also introduced the application of arc spectral information in the

Keywords: spectral information     welding arc     plasma     diagnosis     automation    

An anchor-based spectral clustering method None

Qin ZHANG, Guo-qiang ZHONG, Jun-yu DONG

Frontiers of Information Technology & Electronic Engineering 2018, Volume 19, Issue 11,   Pages 1385-1396 doi: 10.1631/FITEE.1700262

Abstract:

Spectral clustering is one of the most popular and important clustering methods in pattern recognitionTo address this problem, we propose a novel method called anchor-based spectral clustering (ASC) by employingBased on this mapping matrix, it is easy to approximate the spectral embedding of the original data.The proposed method, ASC, is compared to the classical spectral clustering and two state-of-the-art acceleratingExperimental results show that ASC is consistently faster than the classical spectral clustering with

Keywords: Clustering     Spectral clustering     Graph Laplacian     Anchors    

Spectral reflectance indices as proxies for yield potential and heat stress tolerance in spring wheat

Caiyun LIU, Francisco PINTO, C. Mariano COSSANI, Sivakumar SUKUMARAN, Matthew P. REYNOLDS

Frontiers of Agricultural Science and Engineering 2019, Volume 6, Issue 3,   Pages 296-308 doi: 10.15302/J-FASE-2019269

Abstract:

The application of spectral reflectance indices (SRIs) as proxies to screen for yield potential (YP

Keywords: genome-wide association study (GWAS)     heat tolerance     spectral reflectance     spring wheat    

A fast antibiotic detection method for simplified pretreatment through spectra-based machine learning

Frontiers of Environmental Science & Engineering 2022, Volume 16, Issue 3, doi: 10.1007/s11783-021-1472-9

Abstract:

• A spectral machine learning approach is proposed for predicting mixed

Keywords: Antibiotic contamination     Spectral detection     Machine learning    

Research on Droplet Transfer Spectral Information in Pulsed MIG Welding

Li Junyue,Yang Lijun,Hu Shenggang,Li Huan,Liu Gang

Strategic Study of CAE 2000, Volume 2, Issue 7,   Pages 79-86

Abstract:

By the aid of the spectrum detecting device of welding arc, the droplet transfer spectral informationResults show that the arc spectral information can reflect well droplet transfer process in pulsed MIGMany kinds of spectral information modes of droplet transfer have been found, which can reflect variousThese spectral information have excellent character and therefore the spectral real-time and precise

Keywords: arc spectral information     pulsed MIG welding     droplet transfer     transfer mode    

Title Author Date Type Operation

Colocated MIMO radar waveform-design based on two-step optimizations in spatial and spectral domains

Yu-xi WANG, Guo-ce HUANG, Wei LI, Jin-liang LI

Journal Article

Non-negativematrix factorization based unmixing for principal component transformed hyperspectral data

Xiu-rui GENG,Lu-yan JI,Kang SUN

Journal Article

Applying the spectral stochastic finite element method in multiple-random field RC structures

Abbas YAZDANI

Journal Article

Fault feature extraction of planet gear in wind turbine gearbox based on spectral kurtosis and time wavelet

Yun KONG, Tianyang WANG, Zheng LI, Fulei CHU

Journal Article

Fast implementation of kernel simplex volume analysis based on modified Cholesky factorization for endmember

Jing LI,Xiao-run LI,Li-jiao WANG,Liao-ying ZHAO

Journal Article

A Miniature Meta-Optical System for Reconfigurable Wide-Angle Imaging and Polarization-Spectral Detection

Fei Zhang,Minghao Liao,Mingbo Pu,Yinghui Guo,Lianwei Chen,Xiong Li,Qiong He,Tongtong Kang,Xiaoliang Ma,Yuan Ke,Xiangang Luo,

Journal Article

Nongray radiation from gas and soot mixtures in planar plates based on statistical narrow-band spectral

Huaqiang CHU, Qiang CHENG, Huaichun ZHOU, Fengshan LIU

Journal Article

Application of spectral technology in flame measurement

Jiaxun LIU, Xiaoshu CAI, Zenghao ZHU, Huinan YANG

Journal Article

Spectral characteristics of plant communities from salt marshes: A case study from Chongming Dongtan,

ZHANG Liquan, GAO Zhanguo, Armitage Richard, Kent Martin

Journal Article

Spectral element modeling based structure piezoelectric impedance computation and damage identification

Zhigang GUO, Zhi SUN

Journal Article

Technology of Measurement and Control by Welding Arc Spectral Information and Its Application

Li Junyue,Yang Yunqiang,Li Huan,Zhang Xiaonan,Yang Lijun

Journal Article

An anchor-based spectral clustering method

Qin ZHANG, Guo-qiang ZHONG, Jun-yu DONG

Journal Article

Spectral reflectance indices as proxies for yield potential and heat stress tolerance in spring wheat

Caiyun LIU, Francisco PINTO, C. Mariano COSSANI, Sivakumar SUKUMARAN, Matthew P. REYNOLDS

Journal Article

A fast antibiotic detection method for simplified pretreatment through spectra-based machine learning

Journal Article

Research on Droplet Transfer Spectral Information in Pulsed MIG Welding

Li Junyue,Yang Lijun,Hu Shenggang,Li Huan,Liu Gang

Journal Article