메뉴 건너뛰기




Volumn 63, Issue 9, 2015, Pages 2196-2208

A Class of Multivariate Denoising Algorithms Based on Synchrosqueezing

Author keywords

Multivariate signal analysis; multivariate signal denoising; short time Fourier transform; synchrosqueezing transform; wavelet denoising

Indexed keywords

ALGORITHMS; FREQUENCY DOMAIN ANALYSIS; MULTIVARIANT ANALYSIS;

EID: 84926500287     PISSN: 1053587X     EISSN: None     Source Type: Journal    
DOI: 10.1109/TSP.2015.2404307     Document Type: Article
Times cited : (54)

References (32)
  • 2
    • 0041958932 scopus 로고
    • Ideal spatial adaptation by wavelet shrinkage
    • D. L. Donoho and I. M. Johnstone, "Ideal spatial adaptation by wavelet shrinkage," Biometrika, vol. 81, pp. 425-455, 1994.
    • (1994) Biometrika , vol.81 , pp. 425-455
    • Donoho, D.L.1    Johnstone, I.M.2
  • 3
    • 63449122839 scopus 로고    scopus 로고
    • Development of EMD-based denoising methods inspired by wavelet thresholding
    • Y. Kopsinis and S. McLaughlin, "Development of EMD-based denoising methods inspired by wavelet thresholding," IEEE Trans. Signal Process., vol. 57, no. 4, pp. 1351-1362, 2009.
    • (2009) IEEE Trans. Signal Process. , vol.57 , Issue.4 , pp. 1351-1362
    • Kopsinis, Y.1    McLaughlin, S.2
  • 4
    • 54049150301 scopus 로고    scopus 로고
    • Wavelet denoising techniques with applications to experimental geophysical data
    • A. To, J. Moore, and S. Glaser, "Wavelet denoising techniques with applications to experimental geophysical data," Signal Process., vol. 89, no. 2, pp. 144-160, 2009.
    • (2009) Signal Process. , vol.89 , Issue.2 , pp. 144-160
    • To, A.1    Moore, J.2    Glaser, S.3
  • 5
    • 0033355619 scopus 로고    scopus 로고
    • On wavelet denoising and its applications to time delay estimation
    • P. Ching, H. So, and S. Q. Wu, "On wavelet denoising and its applications to time delay estimation," IEEE Trans. Signal Process., vol. 47, no. 10, pp. 2879-2882, 1999.
    • (1999) IEEE Trans. Signal Process. , vol.47 , Issue.10 , pp. 2879-2882
    • Ching, P.1    So, H.2    Wu, S.Q.3
  • 6
    • 0029307534 scopus 로고
    • De-noising by soft-thresholding
    • D. Donoho, "De-noising by soft-thresholding," IEEE Trans. Inf. Theory, vol. 41, no. 3, pp. 613-627, 1995.
    • (1995) IEEE Trans. Inf. Theory , vol.41 , Issue.3 , pp. 613-627
    • Donoho, D.1
  • 7
    • 33644673645 scopus 로고    scopus 로고
    • Multivariate denoising using wavelets and principal component analysis
    • M. Aminghafari, N. Cheze, and J.-M. Poggi, "Multivariate denoising using wavelets and principal component analysis," Computat. Statist. Data Anal., vol. 50, no. 9, pp. 2381-2398, 2006.
    • (2006) Computat. Statist. Data Anal. , vol.50 , Issue.9 , pp. 2381-2398
    • Aminghafari, M.1    Cheze, N.2    Poggi, J.-M.3
  • 8
    • 5444236478 scopus 로고    scopus 로고
    • The empirical mode decomposition and the Hilbert spectrum for nonlinear and non-stationary time series analysis
    • N. Huang, Z. Shen, S. Long, M. Wu, H. Shih, Q. Zheng, N. Yen, C. Tung, and H. Liu, "The empirical mode decomposition and the Hilbert spectrum for nonlinear and non-stationary time series analysis," Proc. Royal Soc. A, vol. 454, pp. 903-995, 1998.
    • (1998) Proc. Royal Soc. A , vol.454 , pp. 903-995
    • Huang, N.1    Shen, Z.2    Long, S.3    Wu, M.4    Shih, H.5    Zheng, Q.6    Yen, N.7    Tung, C.8    Liu, H.9
  • 9
    • 0033330857 scopus 로고    scopus 로고
    • Two denoising methods by wavelet transform
    • Q. Pan, L. Zhang, G. Dai, and H. Zhang, "Two denoising methods by wavelet transform," IEEE Trans. Signal Process., vol. 47, no. 12, pp. 3401-3406, 1999.
    • (1999) IEEE Trans. Signal Process. , vol.47 , Issue.12 , pp. 3401-3406
    • Pan, Q.1    Zhang, L.2    Dai, G.3    Zhang, H.4
  • 11
    • 77952080754 scopus 로고    scopus 로고
    • Multivariate empirical mode decomposition
    • N. Rehman and D. P. Mandic, "Multivariate empirical mode decomposition,"Proc. Royal Soc. A, vol. 466, no. 2117, pp. 1291-1302, 2010.
    • (2010) Proc. Royal Soc. A , vol.466 , Issue.2117 , pp. 1291-1302
    • Rehman, N.1    Mandic, D.P.2
  • 12
    • 79954532442 scopus 로고    scopus 로고
    • Filter bank property of multivariate empirical mode decomposition
    • N. Rehman and D. P. Mandic, "Filter bank property of multivariate empirical mode decomposition," IEEE Trans. Signal Process., vol. 59, pp. 2421-2426, 2011.
    • (2011) IEEE Trans. Signal Process. , vol.59 , pp. 2421-2426
    • Rehman, N.1    Mandic, D.P.2
  • 13
    • 0029306339 scopus 로고
    • Improving the readability of time-frequency and time-scale representations by the reassignment method
    • F. Auger and P. Flandrin, "Improving the readability of time-frequency and time-scale representations by the reassignment method,"IEEE Trans. Signal Process., vol. 43, no. 5, pp. 1068-1089, 1995.
    • (1995) IEEE Trans. Signal Process. , vol.43 , Issue.5 , pp. 1068-1089
    • Auger, F.1    Flandrin, P.2
  • 16
    • 0033177668 scopus 로고    scopus 로고
    • Time-frequency representation based on the reassigned s-method
    • I. Djurovic and L. Stankovic, "Time-frequency representation based on the reassigned s-method," Signal Process., vol. 77, no. 1, pp. 115-120, 1999.
    • (1999) Signal Process. , vol.77 , Issue.1 , pp. 115-120
    • Djurovic, I.1    Stankovic, L.2
  • 17
    • 85130292704 scopus 로고    scopus 로고
    • A nonlinear squeezing of the continuous wavelet transform based on auditory nerve models
    • I. Daubechies and S. Maes, "A nonlinear squeezing of the continuous wavelet transform based on auditory nerve models," in Proc. Wavelets in Med. Biol., 1996, pp. 527-546.
    • Proc. Wavelets in Med. Biol., 1996 , pp. 527-546
    • Daubechies, I.1    Maes, S.2
  • 18
    • 78751584911 scopus 로고    scopus 로고
    • Synchrosqueezed wavelet transforms: An empirical mode decomposition-like tool
    • I. Daubechies, J. Lu, and H.-T. Wu, "Synchrosqueezed wavelet transforms: An empirical mode decomposition-like tool," Appl. Computat. Harmonic Anal., vol. 30, no. 2, pp. 243-261, 2011.
    • (2011) Appl. Computat. Harmonic Anal. , vol.30 , Issue.2 , pp. 243-261
    • Daubechies, I.1    Lu, J.2    Wu, H.-T.3
  • 19
    • 80052631685 scopus 로고    scopus 로고
    • One or two frequencies? The synchrosqueezing answers
    • H.-T. Wu, P. Flandrin, and I. Daubechies, "One or two frequencies? The synchrosqueezing answers," Adv. Adapt. Data Anal., vol. 3, no. 1-2, pp. 29-39, 2011.
    • (2011) Adv. Adapt. Data Anal. , vol.3 , Issue.1-2 , pp. 29-39
    • Wu, H.-T.1    Flandrin, P.2    Daubechies, I.3
  • 22
    • 84867513574 scopus 로고    scopus 로고
    • A new algorithm for multicomponent signals analysis based on synchrosqueezing: With an application to signal sampling and denoising
    • S. Meignen, T. Oberlin, and S. McLaughlin, "A new algorithm for multicomponent signals analysis based on synchrosqueezing: With an application to signal sampling and denoising," IEEE Trans. Signal Process., vol. 60, no. 11, pp. 5787-5798, 2012.
    • (2012) IEEE Trans. Signal Process. , vol.60 , Issue.11 , pp. 5787-5798
    • Meignen, S.1    Oberlin, T.2    McLaughlin, S.3
  • 23
    • 0000293183 scopus 로고
    • Theory of communication
    • D. Gabor, "Theory of communication," Proc. IEEE, vol. 93, pp. 429-457, 1946.
    • (1946) Proc. IEEE , vol.93 , pp. 429-457
    • Gabor, D.1
  • 24
    • 84855933016 scopus 로고    scopus 로고
    • Analysis of modulated multivariate oscillations
    • J. M. Lilly and S. C. Olhede, "Analysis of modulated multivariate oscillations,"IEEE Trans. Signal Process., vol. 60, no. 2, pp. 600-612, 2012.
    • (2012) IEEE Trans. Signal Process. , vol.60 , Issue.2 , pp. 600-612
    • Lilly, J.M.1    Olhede, S.C.2
  • 25
    • 74949125577 scopus 로고    scopus 로고
    • Bivariate instantaneous frequency and bandwidth
    • J. M. Lilly and S. C. Olhede, "Bivariate instantaneous frequency and bandwidth," IEEE Trans. Signal Process., vol. 58, no. 2, pp. 591-603, 2010.
    • (2010) IEEE Trans. Signal Process. , vol.58 , Issue.2 , pp. 591-603
    • Lilly, J.M.1    Olhede, S.C.2
  • 26
    • 84871772255 scopus 로고    scopus 로고
    • The synchrosqueezing algorithm for time-varying spectral analysis: Robustness properties and new paleoclimate applications
    • G. Thakur, E. Brevdo, N. S. Fuckar, and H.-T. Wu, "The synchrosqueezing algorithm for time-varying spectral analysis: Robustness properties and new paleoclimate applications," Signal Process., vol. 93, no. 5, pp. 1079-1094, 2013.
    • (2013) Signal Process. , vol.93 , Issue.5 , pp. 1079-1094
    • Thakur, G.1    Brevdo, E.2    Fuckar, N.S.3    Wu, H.-T.4
  • 28
    • 1642485108 scopus 로고    scopus 로고
    • The Hilbert spectrum via wavelet projections
    • S. Olhede and A. Walden, "The Hilbert spectrum via wavelet projections,"Proc. Royal Soc. A, vol. 460, pp. 955-975, 2004.
    • (2004) Proc. Royal Soc. A , vol.460 , pp. 955-975
    • Olhede, S.1    Walden, A.2
  • 29
    • 84908691492 scopus 로고    scopus 로고
    • Synchrosqueezing-based time-frequency analysis of multivariate data
    • A. Ahrabian, D. Looney, L. Stankovic, and D. Mandic, "Synchrosqueezing-based time-frequency analysis of multivariate data,"Signal Process., vol. 106, pp. 331-341, 2015.
    • (2015) Signal Process. , vol.106 , pp. 331-341
    • Ahrabian, A.1    Looney, D.2    Stankovic, L.3    Mandic, D.4
  • 31
    • 85032750818 scopus 로고    scopus 로고
    • Empirical mode decomposition-based time-frequency analysis of multivariate signals: The power of adaptive data analysis
    • D. Mandic, N. Rehman, Z. Wu, and N. Huang, "Empirical mode decomposition-based time-frequency analysis of multivariate signals: The power of adaptive data analysis," IEEE Signal Process. Mag., vol. 30, no. 6, pp. 74-86, 2013.
    • (2013) IEEE Signal Process. Mag. , vol.30 , Issue.6 , pp. 74-86
    • Mandic, D.1    Rehman, N.2    Wu, Z.3    Huang, N.4
  • 32
    • 84872165334 scopus 로고    scopus 로고
    • Classification of motor imagery BCI using multivariate empirical mode decomposition
    • C. Park, D. Looney, N. Rehman, A. Ahrabian, and D. P. Mandic, "Classification of motor imagery BCI using multivariate empirical mode decomposition,"IEEE Trans. Neural Syst. Rehab. Eng., vol. 21, no. 1, pp. 10-22, 2013.
    • (2013) IEEE Trans. Neural Syst. Rehab. Eng. , vol.21 , Issue.1 , pp. 10-22
    • Park, C.1    Looney, D.2    Rehman, N.3    Ahrabian, A.4    Mandic, D.P.5


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.