Title :
A New Algorithm for Blind Separation of Cyclostationary Source from Linear Mixtures
Author_Institution :
Sch. of Eng. & Inf. Technol., Deakin Univ., Geelong, Vic.
Abstract :
This paper addresses the problem of separating a cyclostationary source from linear mixtures. It first shows that if the cyclic frequencies of the source of interest are known and different from those of the interfering sources, perfect source separation can be achieved using the proposed separation criterion. Then an algorithm is derived to perform the blind source separation. Simulation results demonstrate the validity of the proposed algorithm
Keywords :
blind source separation; blind separation algorithm; cyclostationary source separation; linear mixtures; Australia; Blind source separation; Frequency estimation; Information technology; Mechanical systems; Radar signal processing; Signal processing; Signal processing algorithms; Source separation; Vibration measurement;
Conference_Titel :
Signal Processing, 2006 8th International Conference on
Conference_Location :
Beijing
Print_ISBN :
0-7803-9736-3
Electronic_ISBN :
0-7803-9736-3
DOI :
10.1109/ICOSP.2006.344529