A dual adaptive filter spike-based hardware architecture for implementation of a new active noise control structure

Eduardo Pichardo, Ángel Vázquez, Esteban R. Anides, Juan C. Sánchez, Hector Perez, Juan G. Avalos, Giovanny Sánchez

Research output: Contribution to journalArticlepeer-review

4 Scopus citations

Abstract

Presently, the technology development trend of active noise control (ANC) systems is focused on implementing advanced adaptive filters in resource-constrained electronic appliances. Recently, several authors have proved that the use of two adaptive filter algorithms significantly improves the overall adaptive filter performance. However, the computational cost of these approaches is significantly increased since they use two filters simultaneously. Consequently, these filters cannot be implemented in these devices. To solve this problem, we propose a new ANC structure with switching selection based on filtered-x normalized least mean square (FxNLMS) and filtered-x sign least mean square (FxSLMS) algorithms to reduce the computational cost of the ANC system. The improvement of this factor has allowed us to introduce for the first time an advanced spike-based architecture, which can perform dual filter operations using dynamic routing, to be used in real ANC applications. The results have demonstrated that the computational cost of the proposed dual D-FxNLMS/SLMS algorithm is lower compared with previously reported solutions.

Original languageEnglish
Article number1945
JournalElectronics (Switzerland)
Volume10
Issue number16
DOIs
StatePublished - 2 Aug 2021

Keywords

  • Active noise control (ANC) systems
  • Adaptive filtering
  • FPGA
  • Spiking neural P systems
  • Switching filter selection

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