University of Surrey

Test tubes in the lab Research in the ATI Dance Research

Adaptive IIR Filtering of Noncircular Complex Signals

Cheong Took, C and Mandic, D (2009) Adaptive IIR Filtering of Noncircular Complex Signals IEEE Transactions on Signal Processing, 57 (10). pp. 4111-4118.

Full text not available from this repository.


A recursive learning algorithm for the training of widely linear infinite impulse response complex valued adaptive filters is proposed. The use of so called augmented complex statistics makes this algorithm suitable for the processing of both second order circular (proper) and noncircular (improper) signals. A closed form solution for the bound on the stepsize is provided, and the small stepsize assumption in the derivation is used to reduce the computational complexity. Simulations for both synthetic and real-world circular and noncircular signals are provided in the prediction setting, illustrating the benefits of the proposed algorithm when modelling general complex signals.

Item Type: Article
Divisions : Surrey research (other units)
Authors :
Cheong Took,
Mandic, D
Date : October 2009
DOI : 10.1109/TSP.2009.2022353
Related URLs :
Depositing User : Symplectic Elements
Date Deposited : 17 May 2017 12:37
Last Modified : 24 Jan 2020 22:32

Actions (login required)

View Item View Item


Downloads per month over past year

Information about this web site

© The University of Surrey, Guildford, Surrey, GU2 7XH, United Kingdom.
+44 (0)1483 300800