Academic Journals Database
Disseminating quality controlled scientific knowledge

Adaptive Matrix/Vector Gradient Algorithm for Design of IIR Filters and ARMA Models

ADD TO MY LIST
 
Author(s): Juuso T. Olkkonen | Simo Ahtiainen | Kari Jarvinen | Hannu Olkkonen

Journal: Journal of Signal and Information Processing
ISSN 2159-4465

Volume: 04;
Issue: 02;
Start page: 212;
Date: 2013;
Original page

Keywords: Adaptive Signal Processing | Gradient Algorithm | SVD | Noise Rejection

ABSTRACT
This work describes a novel adaptive matrix/vector gradient (AMVG) algorithm for design of IIR filters and ARMA signal models. The AMVG algorithm can track to IIR filters and ARMA systems having poles also outside the unit circle. The time reversed filtering procedure was used to treat the unstable conditions. The SVD-based null space solution was used for the initialization of the AMVG algorithm. We demonstrate the feasibility of the method by designing a digital phase shifter, which adapts to complex frequency carriers in the presence of noise. We implement the half-sample delay filter and describe the envelope detector based on the Hilbert transform filter.
Why do you need a reservation system?      Affiliate Program