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Volumn 17, Issue 1, 2010, Pages 103-106

Retrieving Sparse Patterns Using a Compressed Sensing Framework: Applications to Speech Coding Based on Sparse Linear Prediction

Author keywords

compressed sensing; Compressive sampling; sparse approximation; speech analysis; speech coding

Indexed keywords


EID: 85008023999     PISSN: 10709908     EISSN: 15582361     Source Type: Journal    
DOI: 10.1109/LSP.2009.2034560     Document Type: Article
Times cited : (74)

References (13)
  • 1
    • 84989426403 scopus 로고
    • A new model of LPC excitation for producing natural sounding speech at low bit rates
    • B. S. Atal and J. R. Remde, “A new model of LPC excitation for producing natural sounding speech at low bit rates,” in Proc. IEEE ICASSP, 1982, vol. 7, pp. 614–617.
    • (1982) Proc. IEEE ICASSP , vol.7 , pp. 614-617
    • Atal, B.S.1    Remde, J.R.2
  • 4
    • 33645712892 scopus 로고    scopus 로고
    • Compressed sensing
    • D. L. Donoho, “Compressed sensing,” IEEE Trans. Inf. Theory, vol. 52, no. 4, pp. 1289–1306, 2006.
    • (2006) IEEE Trans. Inf. Theory , vol.52 , Issue.4 , pp. 1289-1306
    • Donoho, D.L.1
  • 5
    • 7044231546 scopus 로고    scopus 로고
    • An iterative thresholding algorithm for linear inverse problems with a sparsity constraint
    • I. Daubechies, M. Defrise, and C. De Mol, “An iterative thresholding algorithm for linear inverse problems with a sparsity constraint,” Commun. Pure Appl. Math., vol. 57, pp. 1413–1457, 2004.
    • (2004) Commun. Pure Appl. Math. , vol.57 , pp. 1413-1457
    • Daubechies, I.1    Defrise, M.2    De Mol, C.3
  • 6
    • 70349205576 scopus 로고    scopus 로고
    • Compressive sensing for sparsely excited speech signals
    • T. V. Sreenivas and W. B. Kleijn, “Compressive sensing for sparsely excited speech signals,” in Proc. ICASSP, 2009, pp. 4125–4128.
    • (2009) Proc. ICASSP , pp. 4125-4128
    • Sreenivas, T.V.1    Kleijn, W.B.2
  • 7
    • 77953866861 scopus 로고    scopus 로고
    • On compressed sensing and its applications to speech and audio signals
    • M. G. Christensen, J. Østergaard, and S. H. Jensen, “On compressed sensing and its applications to speech and audio signals,” in Asilomar Conf., 2009.
    • (2009) Asilomar Conf.
    • Christensen, M.G.1    Østergaard, J.2    Jensen, S.H.3
  • 8
    • 85194972808 scopus 로고    scopus 로고
    • Regression shrinkage and selection via the lasso
    • R. Tibshirani “Regression shrinkage and selection via the lasso,” J. Royal. Statist. Soc., vol. 58, no. 1, pp. 267–288, 1996.
    • (1996) J. Royal. Statist. Soc. , vol.58 , Issue.1 , pp. 267-288
    • Tibshirani, R.1
  • 9
    • 85032750937 scopus 로고    scopus 로고
    • An introduction to compressive sampling
    • E. J. Candes and M. B. Wakin, “An introduction to compressive sampling,” IEEE Sig. Proc. Mag., vol. 25, no. 2, pp. 21–30, 2008.
    • (2008) IEEE Sig. Proc. Mag. , vol.25 , Issue.2 , pp. 21-30
    • Candes, E.J.1    Wakin, M.B.2
  • 10
    • 33745604236 scopus 로고    scopus 로고
    • Stable signal recovery from incomplete and inaccurate measurements
    • E. J. Candes, J. Romberg, and T. Tao, “Stable signal recovery from incomplete and inaccurate measurements,” Com. on Pure and App. Math., vol. 59, no. 8, pp. 1207–1223, 2006.
    • (2006) Com. on Pure and App. Math. , vol.59 , Issue.8 , pp. 1207-1223
    • Candes, E.J.1    Romberg, J.2    Tao, T.3
  • 12
    • 34249687049 scopus 로고    scopus 로고
    • Sparsity and incoherence in compressive sampling
    • E. J. Candes and J. Romberg, “Sparsity and incoherence in compressive sampling,” Inv. Probl., vol. 23, no. 3, pp. 969–985.
    • Inv. Probl. , vol.23 , Issue.3 , pp. 969-985
    • Candes, E.J.1    Romberg, J.2
  • 13
    • 0001632418 scopus 로고
    • The use of the L-curve in the regularization of discrete ill-posed problems
    • P. C. Hansen and D. P. O'Leary “The use of the L-curve in the regularization of discrete ill-posed problems,” SIAM J. Sci. Comput., vol. 14, no. 6, pp. 1487–1503, 1993.
    • (1993) SIAM J. Sci. Comput. , vol.14 , Issue.6 , pp. 1487-1503
    • Hansen, P.C.1    O'Leary, D.P.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.