Title :
Blind separation of cyclostationary signals from instantaneous mixtures
Author :
Yong Xiang ; Yu, Wensheng ; Zheng, Hong ; Nahavandi, Saeid
Author_Institution :
Sch. of Eng. & Technol., Deakin Univ., Geelong, Vic., Australia
Abstract :
This paper presents a new approach for blind separation of unknown cyclostationary signals from instantaneous mixtures. The proposed method can perfectly separate the mixed source signals so long as they have either different cyclic frequencies or clock phases. This is a weaker condition than those required by the algorithms. The separation criterion is to diagonalize a polynomial matrix whose coefficient matrices consist of the correlation and cyclic correlation matrices, at time delay τ=0, of multiple measurements.
Keywords :
blind source separation; correlation methods; polynomial matrices; blind source separation; coefficient matrices; cyclic correlation matrices; cyclostationary signals; instantaneous mixtures; polynomial matrix diagonalization; signal separation; time delay; Automation; Blind source separation; Clocks; Delay effects; Frequency; Paper technology; Polynomials; Sensor arrays; Source separation; Statistics;
Conference_Titel :
Intelligent Control and Automation, 2004. WCICA 2004. Fifth World Congress on
Print_ISBN :
0-7803-8273-0
DOI :
10.1109/WCICA.2004.1340581