연구동향 분석

Random sampling and reconstruction of signals with finite rate of innovation

Yingchun Jiang Junjian Zhao 2022년

논문상세정보
인용/피인용
' Random sampling and reconstruction of signals with finite rate of innovation' 의 주제별 논문영향력
논문영향력 선정 방법
논문영향력 요약
주제
  • Random sampling
  • probability density function
  • reconstruction algorithm
  • sampling stability
  • signals with finite rate of innovation
동일주제 총논문수 논문피인용 총횟수 주제별 논문영향력의 평균
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' Random sampling and reconstruction of signals with finite rate of innovation' 의 참고문헌

  • Sampling signals with finite rate of innovation
    M. Vetterli [2002]
  • Relevant sampling of the short-time Fourier transform of time-frequency localized functions
  • Relevant sampling of band-limited functions
    R. F. Bass [2013]
  • Relevant sampling in finitely generated shift-invariant spaces
    H. Fuhr [2019]
  • Reconstruction from convolution random sampling in local shift invariant spaces
    Y. Li [2019]
  • Random sampling of bandlimited functions
  • Random sampling in shift invariant spaces
  • Random sampling and reconstruction in multiply generated shift-invariant spaces
    J. Yang [2019]
  • Random sampling and approximation of signals with bounded derivatives
  • Random Sampling of Multivariate Trigonometric Polynomials
  • Probability inequalities for the sum of independent random variable
    G. Bennett [1962]
  • ONLINE LEARNING WITH MARKOV SAMPLING
    STEVE SMALE [2009]
  • Nonuniform Average Sampling and Reconstruction of Signals with Finite Rate of Innovation
    Qiyu Sun [2007]
  • Non-uniform Random Sampling and Reconstruction in Signal Spaces with Finite Rate of Innovation
    Yancheng Lu [2019]
  • Monte Carlo non-local means : random sampling for large-scale image filtering
    S. H. Chan [2014]
  • Learning theory: an approximation theory viewpoint, Cam bridge Monographs on Applied and Computational Mathematics, 24
    F. Cucker [2007]
  • Frames in spaces with finite rate of innovation
    Q. Sun [2008]
  • Finite-Rate-of-Innovation-Sampling-Based Super-Resolution Radar Imaging
  • Ellipse Fitting Using the Finite Rate of Innovation Sampling Principle
  • Compressed sensing of analog signals in shift-invariant spaces
    Y. C. Eldar [2009]