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Volumn 18, Issue 2, 2005, Pages 177-185

Nonlinear wavelet thresholding: A recursive method to determine the optimal denoising threshold

Author keywords

Data analysis; Denoising; Estimation; Wavelets

Indexed keywords

ALGORITHMS; CONVERGENCE OF NUMERICAL METHODS; DATA REDUCTION; FUNCTIONS; KALMAN FILTERING; PROBABILITY DENSITY FUNCTION; RECURSIVE FUNCTIONS; SET THEORY; SPURIOUS SIGNAL NOISE;

EID: 13844255758     PISSN: 10635203     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.acha.2004.10.001     Document Type: Letter
Times cited : (116)

References (7)
  • 1
    • 13844250976 scopus 로고    scopus 로고
    • A recursive algorithm for nonlinear wavelet thresholding: Applications to signal and image processing
    • Institut Pierre Simon Laplace, March
    • A. Azzalini, M. Farge, K. Schneider, A recursive algorithm for nonlinear wavelet thresholding: Applications to signal and image processing, NAI Note No. 43, Institut Pierre Simon Laplace, March 2004
    • (2004) NAI Note No. 43 , vol.43
    • Azzalini, A.1    Farge, M.2    Schneider, K.3
  • 2
    • 0041958932 scopus 로고
    • Ideal spatial adaptation via wavelet shrinkage
    • D. Donoho, and I. Johnstone Ideal spatial adaptation via wavelet shrinkage Biometrika 81 1994 425 455
    • (1994) Biometrika , vol.81 , pp. 425-455
    • Donoho, D.1    Johnstone, I.2
  • 4
    • 5944246388 scopus 로고    scopus 로고
    • Non-Gaussianity and coherent vortex simulation for two-dimensional turbulence using an adaptive orthogonal wavelet basis
    • M. Farge, K. Schneider, and N. Kevlahan Non-Gaussianity and coherent vortex simulation for two-dimensional turbulence using an adaptive orthogonal wavelet basis Phys. Fluids 11 8 1999 2187 2201
    • (1999) Phys. Fluids , vol.11 , Issue.8 , pp. 2187-2201
    • Farge, M.1    Schneider, K.2    Kevlahan, N.3
  • 6
    • 0000099541 scopus 로고
    • Wavelet thresholding: Beyond the Gaussian I.I.D. situation
    • A. Antoniadis G. Oppenheim Wavelets and Statistics
    • R. von Sachs, and J. Neumann Wavelet thresholding: Beyond the Gaussian I.I.D. situation A. Antoniadis G. Oppenheim Wavelets and Statistics Springer Lecture Notes in Statistics vol. 103 1995 301 329
    • (1995) Springer Lecture Notes in Statistics , vol.103 , pp. 301-329
    • Von Sachs, R.1    Neumann, J.2
  • 7
    • 0001392104 scopus 로고    scopus 로고
    • Wavelet smoothing of evolutionary spectra by non-linear thresholding
    • R. von Sachs, and K. Schneider Wavelet smoothing of evolutionary spectra by non-linear thresholding Appl. Comput. Harmon. Anal. 3 1996 268 282
    • (1996) Appl. Comput. Harmon. Anal. , vol.3 , pp. 268-282
    • Von Sachs, R.1    Schneider, K.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.