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Compressive sensing‐based two‐dimensional scattering‐center extraction for incomplete RCS data
배지훈
김경태
2020년
활용도 Analysis
논문 Analysis
연구자 Analysis
활용도 Analysis
논문 Analysis
연구자 Analysis
활용도
공유도
영향력
논문상세정보
저자
배지훈
김경태
주제어
discrete spectral estimation
iteratively reweighted least square
orthogonal matching pursuit
two‐dimensional (2D) scattering‐center extraction
참고문헌( 30)
유사주제 논문( 4)
orthogonal matching pursuit 4건
인용/피인용
Compressive sensing‐based two‐dimensional scatte ...
' Compressive sensing‐based two‐dimensional scattering‐center extraction for incomplete RCS data' 의 주제별 논문영향력
논문영향력 요약
주제
discrete spectral estimation
iteratively reweighted least square
orthogonal matching pursuit
two‐dimensional (2D) scattering‐center extraction
동일주제 총논문수
논문피인용 총횟수
주제별 논문영향력의 평균
8
0
0.0%
자세히
주제별 논문영향력
논문영향력
주제
주제별 논문수
주제별 피인용횟수
주제별 논문영향력
주제어
discrete spectral estimation
1
0
0.0%
iteratively reweighted least ...
1
0
0.0%
orthogonal matching pursuit
5
0
0.0%
two‐dimensional (2D) scatter ...
1
0
0.0%
계
8
0
0.0%
* 다른 주제어 보유 논문에서 피인용된 횟수
0
닫기
' Compressive sensing‐based two‐dimensional scattering‐center extraction for incomplete RCS data'
의 참고문헌
Two-dimensional superresolution radar imaging using the MUSIC algorithm
J.W. Odendaal
[1994]
Sparse signal reconstruction from limited data using FOCUSS : A re-weighted norm minimization algorithm
I. F. Gorodnitsky
[1997]
Sparse decomposition of two dimensional signals
A. Ghaffari
[2009]
Sparse and Redundant Representation
M. Elad
[2010]
Reduction of sidelobe and speckle artifacts in microwave imaging
J. Tsao
[1988]
Radar target recognition via 2-D sparse linear prediction in missing data case
B. Ozen
[2016]
Radar target identification using one-dimensional scattering centers
K. -T. Kim
[2001]
Performance of sparse recovery algorithms for the reconstruction of radar images from incomplete RCS data
J.-H. Bae
[2015]
Performance Analysis of Compressed Sensing Given Insufficient Random Measurements
Ahmad M. Rateb
[2013]
Parametric sparse representation method for ISAR imaging of rotating targets
W. Rao
[2014]
NCTR research using POSTECH compact range
K.-T. Kim
[2001]
Multi-target simultaneous ISAR imaging based on compressed sensing
G. Li
[2016]
Modern spectral estimation: Theory and application
S. M. Kay
[1999]
Matching pursuits with time-frequency dictionary
S. G. Mallat
[1993]
Low cost multifunction phased array radar concept
J. Herd
[2010]
Inverse synthetic aperture radar imaging with MATLAB algorithms
C. Ozdemir
[2012]
High-resolution bistatic ISAR imaging based on two-dimensional compressed sensing
S. Zhang
[2015]
Greed is good : Algorithms results for sparse approximation
J. A. Tropp
[2004]
Fast marginalized sparse Bayesian learning for 3-D interferometric ISAR image formation via super-resolution ISAR imaging
Y. Wu
[2016]
Fast SL0 algorithm for 3D imaging using bistatic MIMO radar
X. Hu
[2018]
Estimation of frequencies and damping factors by two-dimensional ESPRIT type methods
S. Rouquette
[2001]
Efficient mixed-spectrum estimation with applications to target feature extraction
J. Li
[1996]
Efficient ATR using compression
B. Ulug
[1997]
Dynamic ISAR imaging of maneuvering targets based on sequential SL0
Z. Liu
[2013]
Compressive sensing-based algorithm for one-dimensional scattering center extraction
J.-H. Bae
[2016]
Compressive sensing approach for high-resolution ISAR image reconstruction and autofocus
M.-S. Kang
[2018]
Compressive sensing
D. L. Donoho
[2006]
Compressed sensing-based imaging of millimeter-wave ISAR data
S. Demirci
[2013]
Application of Compressive Sensing to Two-Dimensional Radar Imaging Using a Frequency-Scanned Microstrip Leaky Wave Antenna
Shang-Te Yang
[2017]
A GTD-based parametric model for radar scattering
L. C. Potter
[1995]
' Compressive sensing‐based two‐dimensional scattering‐center extraction for incomplete RCS data'
의 유사주제(
) 논문