Computer Science – Information Theory
Scientific paper
2011-09-22
Proc. Int. Zurich Seminar on Communications, 2012, pp. 32 - 35
Computer Science
Information Theory
7 pages, 6 figures; submitted to a conference
Scientific paper
10.3929/ethz-a-007023900
In this work we give a concise definition of information loss from a system-theoretic point of view. Based on this definition, we analyze the information loss in static input-output systems subject to a continuous-valued input. For a certain class of multiple-input, multiple-output systems the information loss is quantified. An interpretation of this loss is accompanied by upper bounds which are simple to evaluate. Finally, a class of systems is identified for which the information loss is necessarily infinite. Quantizers and limiters are shown to belong to this class.
Geiger Bernhard C.
Kubin Gernot
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