From error probability to information theoretic (multi-modal) signal processing

  • Authors:
  • Torsten Butz;Jean-Philipe Thiran

  • Affiliations:
  • ImaSys SA, PSE - Bâtiment, Lausanne, Switzerland;Ecole Polytechnique Fédérale de Lausanne (EPFL), Signal Processing Institute, Lausanne, Switzerland

  • Venue:
  • Signal Processing - Special issue: Information theoretic signal processing
  • Year:
  • 2005

Quantified Score

Hi-index 0.00

Visualization

Abstract

We propose an information theoretic model that unifies a wide range of existing information theoretic signal processing algorithms in a compact mathematical framework. It is mainly based on stochastic processes, Markov chains and error probabilities. The proposed framework will allow us to discuss revealing analogies and differences between several well-known algorithms and to propose interesting extensions resulting directly from our formalism. We will then describe how the theory can be applied to the rapidly emerging field of multi-modal signal processing: we will show how our framework can be efficiently used for multi-modal medical image processing and for joint analysis of multi-media sequences (audio and video).