Entropy, information theory, information geometry and bayesian inference in data, signal and image processing and inverse problems

HIGHLIGHTS

• who: Ali Mohammad-Djafari from the Laboratoire des Signaux et Systèmes, UMR , CNRS-SUPELEC-UNIV PARIS SUD, SUPELEC have published the Article: Entropy, Information Theory, Information Geometry and Bayesian Inference in Data, Signal and Image Processing and Inverse Problems, in the Journal: Entropy 2015, 17, 3989-4027 of 26/09/2014
• what: The second part of the paper is focused on the ways these tools have been used in data signal and image processing and in the which arise in different physical sciences and engineering applications. At the end, the authors focus more on . . .
  

   

  

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