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On the Relationships between MMSE and Information-Theoretic-Based Blind Criterion for Minimum BER Filtering

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Independent Component Analysis and Signal Separation (ICA 2009)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 5441))

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Abstract

In this paper we present a relationship between supervised (MMSE) and unsupervised criteria for minimum bit error rate (BER) filtering. A criterion based on the probability density function (pdf) estimation which has an information theoretical approach is used to link the MMSE criterion and the maximum a posteriori one in order to obtain a linear filter that minimizes the BER. An analytical relationship among those three criteria is presented and analyzed showing the limits imposed to achieve minimum BER without training sequences when the pdf estimation-based criterion is considered.

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Author information

Authors and Affiliations

  1. GTEL, DETI, Federal University of Ceará, Brazil

    Charles Casimiro Cavalcante

  2. DSPCom, FEEC, University of Campinas, Brazil

    João M. T. Romano

Authors
  1. Charles Casimiro Cavalcante
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  2. João M. T. Romano
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Editor information

Editors and Affiliations

  1. Department of Computer Science and Electrical Engineering, ITE 324, University of Maryland, Baltimore County, 1000 Hilltop Circle, MD 21250, Baltimore, USA

    Tülay Adali

  2. Domaine Universitaire, GIPSA-lab, BP 46, 38402, Saint Martin d’Hères Cedex, France

    Christian Jutten

  3. Departamento de Microonda e Óptica (DMO), FEEC / Unicamp, Avenida Albert Einstein 400, 13083-852, Campinas, Sao Paulo, Brazil

    João Marcos Travassos Romano

  4. Centro Tecnológico, Curso de Engenharia Elétrica, Universidade Federal do Maranhão, Avenida dos Portugueses, s/n, Bacanga, 65080-040, São Luís, MA, Brazil

    Allan Kardec Barros

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© 2009 Springer-Verlag Berlin Heidelberg

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Cavalcante, C.C., Romano, J.M.T. (2009). On the Relationships between MMSE and Information-Theoretic-Based Blind Criterion for Minimum BER Filtering. In: Adali, T., Jutten, C., Romano, J.M.T., Barros, A.K. (eds) Independent Component Analysis and Signal Separation. ICA 2009. Lecture Notes in Computer Science, vol 5441. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-00599-2_3

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  • DOI: https://doi.org/10.1007/978-3-642-00599-2_3

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-00598-5

  • Online ISBN: 978-3-642-00599-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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