A Novel Entropy-based Equalization Performance Measure and Relations to L p -Norm Deconvolution

Kenji Nose-Filho, Denis G. Fantinato, Romis Attux, Aline Neves, J.M.T. Romano

DOI: 10.14209/sbrt.2013.91

Evento: XXXI Simpósio Brasileiro de Telecomunicações (SBrT2013)

Keywords: Deconvolution intersymbol interference perfor- mance measure L p -norms information-theoretic learning en- tropy.

Abstract

A crucial performance measure in the context of the problem of deconvolution is the level of residual intersymbol interference (ISI), a metric that is classically understood and formulated in terms of an L 2 -norm perspective. In order to enhance the scope of ISI quantification, we propose a novel entropy-based performance measure, which is called Entropy- based Intersymbol Interference (HISI). Interestingly, this metric is related to an information-theoretic relationship between source distribution and L p -norms when the error entropy is used as a basis for optimal filtering. The new metric is analytically investigated and illustrated with some simulations.

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