메뉴 건너뛰기




Volumn , Issue , 2013, Pages 1258-1265

Sample-optimal average-case sparse Fourier Transform in two dimensions

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER PROGRAMMING; COMPUTER SCIENCE; CONTROL ENGINEERING;

EID: 84897734712     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/Allerton.2013.6736670     Document Type: Conference Paper
Times cited : (67)

References (32)
  • 1
    • 84894738603 scopus 로고    scopus 로고
    • Deterministic sparse Fourier approximation via fooling arithmetic progressions
    • A. Akavia. Deterministic sparse Fourier approximation via fooling arithmetic progressions. COLT, pages 381-393, 2010
    • (2010) COLT , pp. 381-393
    • Akavia, A.1
  • 2
    • 0344550526 scopus 로고    scopus 로고
    • Proving hard-core predicates using list decoding
    • A. Akavia, S. Goldwasser, and S. Safra. Proving hard-core predicates using list decoding. FOCS, 44:146-159, 2003
    • (2003) FOCS , vol.44 , pp. 146-159
    • Akavia, A.1    Goldwasser, S.2    Safra, S.3
  • 3
    • 44849094084 scopus 로고    scopus 로고
    • A frame construction and a universal distortion bound for sparse representations
    • june
    • M. Akcakaya and V. Tarokh. A frame construction and a universal distortion bound for sparse representations. Signal Processing, IEEE Transactions on, 56(6):2443-2450, june 2008
    • (2008) Signal Processing IEEE Transactions on , vol.56 , Issue.6 , pp. 2443-2450
    • Akcakaya, M.1    Tarokh, V.2
  • 7
    • 33947416035 scopus 로고    scopus 로고
    • Near optimal signal recovery from
    • random projections: Universal encoding strategies
    • E. Candes and T. Tao. Near optimal signal recovery from random projections: Universal encoding strategies. IEEE Trans. on Info.Theory, 2006
    • (2006) IEEE Trans. on Info.Theory
    • Candes, E.1    Tao, T.2
  • 14
    • 84880517872 scopus 로고    scopus 로고
    • Near-optimal algorithm for sparse Fourier transform
    • H. Hassanieh, P. Indyk, D. Katabi, and E. Price. Near-optimal algorithm for sparse Fourier transform. STOC, 2012
    • (2012) STOC
    • Hassanieh, H.1    Indyk, P.2    Katabi, D.3    Price, E.4
  • 15
    • 84860189111 scopus 로고    scopus 로고
    • Simple and practical algorithm for sparse Fourier transform
    • H. Hassanieh, P. Indyk, D. Katabi, and E. Price. Simple and practical algorithm for sparse Fourier transform. SODA, 2012
    • (2012) SODA
    • Hassanieh, H.1    Indyk, P.2    Katabi, D.3    Price, E.4
  • 16
    • 84880565617 scopus 로고    scopus 로고
    • Improved approximation guarantees for sublineartime Fourier algorithms
    • M. Iwen. Improved approximation guarantees for sublineartime Fourier algorithms. Applied And Computational Harmonic Analysis, 2012
    • (2012) Applied and Computational Harmonic Analysis
    • Iwen, M.1
  • 17
    • 77953326287 scopus 로고    scopus 로고
    • Combinatorial sublinear-time Fourier algorithms
    • M. A. Iwen. Combinatorial sublinear-time Fourier algorithms. Foundations of Computational Mathematics, 10:303-338, 2010
    • (2010) Foundations of Computational Mathematics , vol.10 , pp. 303-338
    • Iwen, M.A.1
  • 23
    • 58449099399 scopus 로고
    • Randomized interpolation and approximation of sparse polynomials
    • Y. Mansour. Randomized interpolation and approximation of sparse polynomials. ICALP, 1992
    • (1992) ICALP
    • Mansour, Y.1
  • 25
    • 84890424822 scopus 로고    scopus 로고
    • Computing a k-sparse n-length Discrete Fourier Transform using at most 4k samples and O(k log k) complexity . in
    • S. Pawar and K. Ramchandran. Computing a k-sparse n-length Discrete Fourier Transform using at most 4k samples and O(k log k) complexity . In ISIT, 2013
    • (2013) ISIT
    • Pawar, S.1    Ramchandran, K.2
  • 26
    • 84861587718 scopus 로고    scopus 로고
    • (1+x)-Approximate sparse recovery
    • E. Price and D. P. Woodruff. (1+?)-Approximate sparse recovery. FOCS, 2011
    • (2011) FOCS
    • Price, E.1    Woodruff, D.P.2
  • 29
    • 84897718874 scopus 로고    scopus 로고
    • What does compressive sensing mean for X-ray CT and comparisons with its MRI application. in
    • E. Sidky. What does compressive sensing mean for X-ray CT and comparisons with its MRI application. In Conference on Mathematics of Medical Imaging, 2011
    • (2011) Conference on Mathematics of Medical Imaging
    • Sidky, E.1
  • 30
    • 0026142897 scopus 로고
    • The JPEG still picture compression standard
    • G. Wallace. The JPEG still picture compression standard. Communications of the ACM, 1991
    • (1991) Communications of the ACM
    • Wallace, G.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.