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Volumn 8138, Issue , 2011, Pages

Sparse signal representations using the tunable Q-factor wavelet transform

Author keywords

constant Q transform; sparse signal representation; wavelet transform

Indexed keywords

ASYMPTOTIC REDUNDANCY; CONSTANT Q TRANSFORM; CONTINUOUS WAVELET TRANSFORM; DISCRETE APPROXIMATION; FAST ALGORITHMS; OSCILLATORY BEHAVIORS; OVER SAMPLING; PARSEVAL FRAMES; Q-FACTORS; RADIX 2; SIGNAL OF INTERESTS; SPARSE SIGNAL REPRESENTATION;

EID: 80055046623     PISSN: 0277786X     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1117/12.894280     Document Type: Conference Paper
Times cited : (82)

References (20)
  • 1
    • 77955783919 scopus 로고    scopus 로고
    • Fast image recovery using variable splitting and constrained optimization
    • September
    • M. V. Afonso, J. M. Bioucas-Dias, and M. A. T. Figueiredo. Fast image recovery using variable splitting and constrained optimization. IEEE Trans. Image Process., 19(9):2345 -2356, September 2010.
    • (2010) IEEE Trans. Image Process. , vol.19 , Issue.9 , pp. 2345-2356
    • Afonso, M.V.1    Bioucas-Dias, J.M.2    Figueiredo, M.A.T.3
  • 2
    • 68249150714 scopus 로고    scopus 로고
    • Frequency-domain design of overcomplete rational-dilation wavelet transforms
    • August
    • I. Bayram and I. W. Selesnick. Frequency-domain design of overcomplete rational-dilation wavelet transforms. IEEE Trans. Signal Process., 57(8):2957-2972, August 2009.
    • (2009) IEEE Trans. Signal Process. , vol.57 , Issue.8 , pp. 2957-2972
    • Bayram, I.1    Selesnick, I.W.2
  • 3
    • 58649107896 scopus 로고    scopus 로고
    • Overcomplete discrete wavelet transforms with rational dilation factors
    • January
    • İ. Bayram and I. W. Selesnick. Overcomplete discrete wavelet transforms with rational dilation factors. IEEE Trans. Signal Process., 57(1):131-145, January 2009.
    • (2009) IEEE Trans. Signal Process. , vol.57 , Issue.1 , pp. 131-145
    • Bayram, I.1    Selesnick, I.W.2
  • 4
    • 0026471285 scopus 로고
    • An efficient algorithm for the calculation of a constant Q transform
    • November
    • J. C. Brown and M. S. Puckette. An efficient algorithm for the calculation of a constant Q transform. J. Acoust. Soc. Am., 92(5):2698-2701, November 1992.
    • (1992) J. Acoust. Soc. Am. , vol.92 , Issue.5 , pp. 2698-2701
    • Brown, J.C.1    Puckette, M.S.2
  • 5
    • 77952921188 scopus 로고    scopus 로고
    • Split Bregman methods and frame based image restoration
    • J.-F. Cai, S. Osher, and Z. Shen. Split Bregman methods and frame based image restoration. Multiscale Model. Simul., 8(2):337-369, 2009.
    • (2009) Multiscale Model. Simul. , vol.8 , Issue.2 , pp. 337-369
    • Cai, J.-F.1    Osher, S.2    Shen, Z.3
  • 7
    • 27844460570 scopus 로고    scopus 로고
    • Simultaneous cartoon and texture image inpainting using morphological component analysis (MCA)
    • DOI 10.1016/j.acha.2005.03.005, PII S1063520305000655, Computational Harmonic Analysis - Part 1
    • M. Elad, J. Starck, P. Querre, and D. Donoho. Simultaneous cartoon and texture image inpainting using morphological component analysis (MCA). J. of Appl. and Comp. Harm. Analysis, 19(3):340-358, November 2005. (Pubitemid 41660098)
    • (2005) Applied and Computational Harmonic Analysis , vol.19 , Issue.3 , pp. 340-358
    • Elad, M.1    Starck, J.-L.2    Querre, P.3    Donoho, D.L.4
  • 8
    • 77952744186 scopus 로고    scopus 로고
    • Image decomposition and separation using sparse representations: An overview
    • June
    • M. J. Fadili, J.-L. Starck, J. Bobin, and Y. Moudden. Image decomposition and separation using sparse representations: An overview. Proc. IEEE, 98(6):983 -994, June 2010.
    • (2010) Proc. IEEE , vol.98 , Issue.6 , pp. 983-994
    • Fadili, M.J.1    Starck, J.-L.2    Bobin, J.3    Moudden, Y.4
  • 9
    • 0038383060 scopus 로고    scopus 로고
    • Spectral-subtraction speech enhancement in multirate systems with and without non-uniform and adaptive bandwidths
    • T. Gulzow, T. Ludwig, and U. Heute. Spectral-subtraction speech enhancement in multirate systems with and without non-uniform and adaptive bandwidths. Signal Processing, 83(8):1613 - 1631, 2003.
    • (2003) Signal Processing , vol.83 , Issue.8 , pp. 1613-1631
    • Gulzow, T.1    Ludwig, T.2    Heute, U.3
  • 10
    • 34147145819 scopus 로고    scopus 로고
    • Design of optimal wavelet packet trees based on auditory perception criterion
    • DOI 10.1109/LSP.2006.884129
    • A. Karmakar, A. Kumar, and R. K. Patney. Design of optimal wavelet packet trees based on auditory perception criterion. IEEE Signal Processing Letters, 14(4):240-243, April 2007. (Pubitemid 46563199)
    • (2007) IEEE Signal Processing Letters , vol.14 , Issue.4 , pp. 240-243
    • Karmakar, A.1    Kumar, A.2    Patney, R.K.3
  • 11
    • 80055025729 scopus 로고    scopus 로고
    • Data separation by sparse representations
    • Y. C. Eldar and G. Kutyniok, editors, Cambridge University Press, To appear
    • G. Kutyniok. Data separation by sparse representations. In Y. C. Eldar and G. Kutyniok, editors, Compressed Sensing: Theory and Applications. Cambridge University Press, 2012. To appear.
    • (2012) Compressed Sensing: Theory and Applications
    • Kutyniok, G.1
  • 14
    • 47649094799 scopus 로고    scopus 로고
    • Perceptually motivated wavelet packet transform for bioacoustic signal enhancement
    • DOI 10.1121/1.2932070
    • Y. Ren, M. T. Johnson, and J. Tao. Perceptually motivated wavelet packet transform for bioacoustic signal enhancement. J. Acoust. Soc. Am., 124:316-327, 2008. (Pubitemid 352019320)
    • (2008) Journal of the Acoustical Society of America , vol.124 , Issue.1 , pp. 316-327
    • Ren, Y.1    Johnson, M.T.2    Tao, J.3
  • 16
    • 80051471430 scopus 로고    scopus 로고
    • Resonance-based signal decomposition: A new sparsity-enabled signal analysis method
    • I. W. Selesnick. Resonance-based signal decomposition: A new sparsity-enabled signal analysis method. Signal Processing, 91(12):2793 - 2809, 2011.
    • (2011) Signal Processing , vol.91 , Issue.12 , pp. 2793-2809
    • Selesnick, I.W.1
  • 17
    • 79960408153 scopus 로고    scopus 로고
    • Wavelet transform with tunable Q-factor
    • August
    • I. W. Selesnick. Wavelet transform with tunable Q-factor. Signal Processing, IEEE Transactions on, 59(8):3560-3575, August 2011.
    • (2011) Signal Processing, IEEE Transactions on , vol.59 , Issue.8 , pp. 3560-3575
    • Selesnick, I.W.1
  • 18
    • 3142656055 scopus 로고    scopus 로고
    • Redundant multiscale transforms and their application for morphological component analysis
    • J.-L. Starck, M. Elad, and D. Donoho. Redundant multiscale transforms and their application for morphological component analysis. Advances in Imaging and Electron Physics, 132:287-348, 2004.
    • (2004) Advances in Imaging and Electron Physics , vol.132 , pp. 287-348
    • Starck, J.-L.1    Elad, M.2    Donoho, D.3
  • 19
    • 27744574209 scopus 로고    scopus 로고
    • Image decomposition via the combination of sparse representation and a variational approach
    • J.-L. Starck, M. Elad, and D. Donoho. Image decomposition via the combination of sparse representation and a variational approach. IEEE Trans. Image Process., 14(10), 2005.
    • (2005) IEEE Trans. Image Process. , vol.14 , Issue.10
    • Starck, J.-L.1    Elad, M.2    Donoho, D.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.