Keyword : covariance matrix


A Spectrum Sensing Algorithm for OFDM Signal Based on Deep Learning and Covariance Matrix Graph
Mengbo ZHANG Lunwen WANG Yanqing FENG Haibo YIN 
Publication:   
Publication Date: 2018/12/01
Vol. E101-B  No. 12 ; pp. 2435-2444
Type of Manuscript:  PAPER
Category: Wireless Communication Technologies
Keyword: 
cognitive radioOFDMspectrum sensingcovariance matrixconvolutional neural network
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Polarimetric Coherence Optimization and Its Application for Manmade Target Extraction in PolSAR Data
Shun-Ping XIAO Si-Wei CHEN Yu-Liang CHANG Yong-Zhen LI Motoyuki SATO 
Publication:   IEICE TRANSACTIONS on Electronics
Publication Date: 2014/06/01
Vol. E97-C  No. 6 ; pp. 566-574
Type of Manuscript:  PAPER
Category: Electromagnetic Theory
Keyword: 
synthetic aperture radar (SAR)polarimetrycoherency matrixcovariance matrixrotationcoherence optimizationcorrelation coefficientmanmade target
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Revision of Using Eigenvalues of Covariance Matrices in Boundary-Based Corner Detection
Wen-Bing HORNG Chun-Wen CHEN 
Publication:   IEICE TRANSACTIONS on Information and Systems
Publication Date: 2009/09/01
Vol. E92-D  No. 9 ; pp. 1692-1701
Type of Manuscript:  PAPER
Category: Pattern Recognition
Keyword: 
corner detectioncovariance matrixcurvature estimationeigenvaluemeasure of significance
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Optical Flow Detection Using a General Noise Model
Naoya OHTA 
Publication:   IEICE TRANSACTIONS on Information and Systems
Publication Date: 1996/07/25
Vol. E79-D  No. 7 ; pp. 951-957
Type of Manuscript:  PAPER
Category: Image Processing,Computer Graphics and Pattern Recognition
Keyword: 
image motionmaximum likelihood estimationleast-squares criterioncovariance matrixgeneralized eigenvaluesderivative kernels
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A Superior Estimator to the Maximum Likelihood Estimator on 3-D Motion Estimation from Noisy Optical Flow
Toshio ENDOH Takashi TORIU Norio TAGAWA 
Publication:   IEICE TRANSACTIONS on Information and Systems
Publication Date: 1994/11/25
Vol. E77-D  No. 11 ; pp. 1240-1246
Type of Manuscript:  Special Section PAPER (Special Issue on Computer Vision)
Category: 
Keyword: 
computer visionmotion analysisoptical flowmaximum likelihood estimationcovariance matrix
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