Title :
The Application of Ant Colony Optimization Algorithm in Linear-Combination Blind Source Separation Problem
Author :
Zhang, Nian ; Liu, Tianyou
Author_Institution :
Inst. of Geophys. & Geomatics, China Univ. of Geosci., Wuhan, China
Abstract :
The paper establishes a mathematical model of the blind source separation (BSS),and introduce the basic theory of ant colony optimization (ACO) algorithm. According to the idea of independent component analysis (ICA), the paper proposes a linear blind source separation algorithm based on ant colony optimization, the algorithm establishes a cost function based on minimum mutual information (MMI).The paper does the global optimization in cost function by using the the global optimization capability, positive feedback and other characteristics of ACO, and solves a class of BSS problem.The simulation experiment verifies the effectiveness of the algorithm.
Keywords :
blind source separation; independent component analysis; optimisation; ACO; BSS; ICA; MMI; ant colony optimization algorithm; cost function; global optimization capability; independent component analysis; linear-combination blind source separation problem; mathematical model; minimum mutual information; positive feedback; Ant colony optimization; Blind source separation; Cost function; Geology; Geophysics; Independent component analysis; Mutual information; Signal processing; Signal processing algorithms; Source separation;
Conference_Titel :
Image and Signal Processing, 2009. CISP '09. 2nd International Congress on
Conference_Location :
Tianjin
Print_ISBN :
978-1-4244-4129-7
Electronic_ISBN :
978-1-4244-4131-0
DOI :
10.1109/CISP.2009.5304441
