A Lempel-Ziv like approach for signal classification

Authors

  • Jugurta Montalvão Universidade Federal de Sergipe
  • Jânio Canuto Télécom SudParis

DOI:

https://doi.org/10.5540/tema.2014.015.02.0223

Abstract

In this paper, the seminal method proposed by Abraham Lempel and Jacob Ziv, aimed at the complexity analysis of sequences of symbols, was modified to compare similarities between two sequences. This modification allowed the creation of a new criterion which can replace likelihood in some pattern recognition applications. Moreover, to allow for analysis and comparison of multivariate continuously valued patterns, we also present a simple adaptation of the Lempel-Ziv's method to time-sampled signals. To illustrate the usefulness of these proposed tools, two sets of experimental results are presented, namely: one on speaker identity verification (biometrics) and another on healthcare signal detection. Both experiments yield promising performances. Moreover, as compared to a conventional pattern recognition method, the new approach provided better performances in terms of Equal Error Ratio in speaker verification experiments.

Author Biographies

Jugurta Montalvão, Universidade Federal de Sergipe

Departamento de Engenharia Elétrica. Áreas de interesse: reconhecimento de padrões e processamento de sinais.

Jânio Canuto, Télécom SudParis

Département EPH, Doutorando no tema: Informação mútua aplicada à biometria computacional.

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Published

2014-09-06

How to Cite

Montalvão, J., & Canuto, J. (2014). A Lempel-Ziv like approach for signal classification. Trends in Computational and Applied Mathematics, 15(2). https://doi.org/10.5540/tema.2014.015.02.0223

Issue

Vol. 15 No. 2 (2014)

Section

Original Article

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