Complex-Valued Nonlinear Adaptive Filters with Applications in α-Stable Environments

Tutkimustuotos: Lehtiartikkelivertaisarvioitu

Tutkijat

Organisaatiot

  • Norwegian University of Science and Technology
  • Imperial College London

Kuvaus

A nonlinear adaptive filtering framework for processing complex-valued signals is derived. The introduced adaptive filter extends the fractional-order framework of the authors for dealing with real-valued signals to the complex domain via the augmented statistical approach to complex-valued signal processing. This results in a versatile class of adaptive filtering techniques, which allows the classical Gaussian assumption to be extended to the generalized context of α-stables. For rigor, the performance of the introduced adaptive filtering framework is analyzed, its convergence criteria is established, and its application in tracking signals of chaotic systems is demonstrated using simulations.

Yksityiskohdat

AlkuperäiskieliEnglanti
Artikkeli8768059
Sivut1315-1319
Sivumäärä5
JulkaisuIEEE Signal Processing Letters
Vuosikerta26
Numero9
TilaJulkaistu - 1 syyskuuta 2019
OKM-julkaisutyyppiA1 Julkaistu artikkeli, soviteltu

Lataa tilasto

Ei tietoja saatavilla

ID: 36167860