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  abstract={We introduce a signal processing model for signals in non-white noise, where the exact noise spectrum is a priori unknown. The model is based on a Student's t distribution and constitutes a natural generalization of the widely used normal (Gaussian) model. This way, it allows for uncertainty in the noise spectrum, or more generally is also able to accommodate outliers (heavy-tailed noise) in the data. Examples are given pertaining to data from gravitational-wave detectors.}
}

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@article{wickham2010,
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  pages =	"1--29",
  day =  	"7",
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  year = 	"2011",
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  ISSN = 	"1548-7660",
  bibdate =	"2010-12-27",
  URL =  	"http://www.jstatsoft.org/v40/i01",
  accepted =	"2010-12-27",
  acknowledgement = "",
  keywords =	"",
  submitted =	"2009-09-24",
}

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@Manual{psdR,
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@Manual{rcore,
  title = {R: A Language and Environment for Statistical Computing},
  author = {{R Core Team}},
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  address = {Vienna, Austria},
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  note = {{ISBN} 3-900051-07-0},
  url = {http://www.R-project.org/},
}

@Manual{rahim2012,
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}

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@article{prieto2007,
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