articleInverse ProblemsApr 10, 2007Closed access

Analysis versus synthesis in signal priors

Technion – Israel Institute of Technology · University of California, Santa Cruz

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Abstract

The concept of prior probability for signals plays a key role in the successful solution of many inverse problems. Much of the literature on this topic can be divided between analysis-based and synthesis-based priors. Analysis-based priors assign probability to a signal through various forward measurements of it, while synthesis-based priors seek a reconstruction of the signal as a combination of atom signals. The algebraic similarity between the two suggests that they could be strongly related; however, in the absence of a detailed study, contradicting approaches have emerged. While the computationally intensive synthesis approach is receiving ever-increasing attention and is notably preferred, other works…

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710
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22.27
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100%
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Authors

3

Topics & keywords

Keywords
  • Prior probability
  • Similarity (geometry)
  • Mathematics
  • SIGNAL (programming language)
  • Algorithm
  • Bayesian probability
  • Inverse problem
  • Algebraic number
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