Summary
International Technical Conference on Circuits/Systems, Computers and Communications
2008
Session Number:G3
Session:
Number:G3-3
A Probabilistic Short-length Linear Predictability Approach to Blind Source Separation
Mahdi Khosravy, Mohammad Reza Alsharif, Katsumi Yamashita,
pp.-
Publication Date:2008/7/7
Online ISSN:2188-5079
Summary:
A merit function based on short length linear predictability of signal in an objective probabilistic algorithm is defined and used for blind source separation (BSS) of linear mixtures of signals. Its performance has been driven with many tests performed with mixtures of different kinds. Accurate numerical manners approve near-perfect performance of the method. Since short length of prediction window as well as extension to eigenvalue routine, signals can be extracted simultaneously and fast.