Statistical decision theory
Noisy signal processing methods

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R7031 V1 Article

Statistical decision theory


Noisy signal processing methods

Authors : Pierre-Yves ARQUÈS, Jean-Marc BOUCHER, Alain HILLION, Christian ROUX

Publication date: October 10, 1994 | Lire en français

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2. Statistical decision theory

Please refer to the references [1][2] in the bibliography.

2.1 Basic elements

The central concept in noisy signal processing is the notion of decision making: a choice concerning a property of a useful phenomenon, made on the basis of an observation related to the useful phenomenon, by a so-called decision system.

  • At the elementary stage, the decision problem is static: the observation is given globally for consideration by processing; the decision is "unique and instantaneous", subsequent to the observation if the causality principle is respected. Often, the problem is more complex in terms of time,...

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