An adaptive recursive algorithm based on non-quadratic function of the error

  • Authors:

  • Cristiane Da Silva;Ewaldo Santana;Enio Aguiar;Marcos A. F. De AraúJo;Allan Kardec Barros

  • Affiliations:

  • Federal University of Maranhão, Av. dos Portugueses s/n, Campus do Bacanga, 65080-040 São Luís, MA, Brasil;Federal University of Maranhão, Av. dos Portugueses s/n, Campus do Bacanga, 65080-040 São Luís, MA, Brasil and University of State of Maranhão, Cidade Universitária Paulo ...;Federal University of Rio Grande do Norte, Campus Universitio Lagoa Nova, 59072-970 Natal, RN, Brasil;Federal University of Maranhão, Av. dos Portugueses s/n, Campus do Bacanga, 65080-040 São Luís, MA, Brasil;Federal University of Maranhão, Av. dos Portugueses s/n, Campus do Bacanga, 65080-040 São Luís, MA, Brasil

  • Venue:
  • Signal Processing
  • Year:
  • 2012

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Abstract

In adaptive filtering, several algorithms were developed to get faster convergence and lower misadjustment, but rely on second order statistics which are optimum only for Gaussian signals. In this work we propose a recursive filter by modifying the performance surface to a non-quadratic function applied upon the error. As a result, the equations are simple, elegant, and yielded faster convergence and lower misadjustment when compared to the RLS, keeping equivalent computational cost.