Title :
Improved Minimum-Range Approach to Blind Extraction of Bounded Sources
Author :
Zhou, Guoxu ; Zhao, Min
Author_Institution :
Sch. of Electron. & Inf. Eng., South China Univ. of Technol., Guangzhou
Abstract :
Although minimum-range approach to blind extraction is proved reliable in theory, it has disadvantages in its optimization algorithm. A new optimization algorithm is proposed by this article. Compared with the original algorithm, the new algorithm needs no parameters, guarantees fast and reliable convergence. Simulations illustrate the efficiencies of the proposed algorithm.
Keywords :
blind source separation; optimisation; blind extraction; bounded sources; improved minimum-range approach; optimization algorithm; Convergence; Data mining; Independent component analysis; Reliability engineering; Reliability theory; Scattering; Solid modeling; Source separation; Statistics; Vectors;
Conference_Titel :
Innovative Computing Information and Control, 2008. ICICIC '08. 3rd International Conference on
Conference_Location :
Dalian, Liaoning
Print_ISBN :
978-0-7695-3161-8
Electronic_ISBN :
978-0-7695-3161-8
DOI :
10.1109/ICICIC.2008.315
