Article thumbnail

Sparsity or whiteness : what criterion to use for blind deconvolution of seismic data?

By Anthony Larue, Mirko Van Der Baan, Jerome Mars and Christian Jutten


International audienceIn this paper, we purpose to compare the relevance of sparsity or whiteness assumptions in blind deconvolution problem of seismic data. The MED algorithm of Wiggins based on kurtosis maximization of the kurtosis is re-interpreted as a sparsity based algorithm. Numerical simulations and a large discussion compare the MED algorithm with a blind frequency deconvolution algorithm based on mutual information rate

Topics: [SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing, [INFO.INFO-TS]Computer Science [cs]/Signal and Image Processing
Publisher: 'Society of Exploration Geophysicists of Japan'
Year: 2005
OAI identifier: oai:HAL:hal-00097184v1
Download PDF:
Sorry, we are unable to provide the full text but you may find it at the following location(s):
  • https://hal.archives-ouvertes.... (external link)
  • https://hal.archives-ouvertes.... (external link)
  • https://hal.archives-ouvertes.... (external link)
  • Suggested articles

    To submit an update or takedown request for this paper, please submit an Update/Correction/Removal Request.