Title :
A novel nonlinear adaptive filter design and its implementation with FPGA
Author :
Mengüç, Engin Cemal ; Acir, Nurettin
Author_Institution :
Elektrik Elektron. Muhendisligi Bolumu, Nigde Univ., Nigde, Turkey
Abstract :
In this study, a novel nonlinear adaptive filter algorithm is proposed guaranteeing the asymptotic stability in the sense of Lyapunov. The tracking capability of the proposed filter is tested by using a created artificial signal having a finite number of discontinuities. The proposed filter shows high performance both in Matlab environment and its FPGA realization. As a result, realization of the proposed filter with FPGA is confirmed.
Keywords :
Lyapunov methods; adaptive filters; asymptotic stability; field programmable gate arrays; FPGA realization; Lyapunov; Matlab environment; artificial signal; asymptotic stability; nonlinear adaptive filter design; Adaptive filters; Application software; Field programmable gate arrays; Filtering algorithms; Least squares approximation; Neural networks; Read only memory;
Conference_Titel :
Signal Processing and Communications Applications Conference (SIU), 2012 20th
Conference_Location :
Mugla
Print_ISBN :
978-1-4673-0055-1
Electronic_ISBN :
978-1-4673-0054-4
DOI :
10.1109/SIU.2012.6204472
