Title :
Fixed-point Error Evaluation of Fast ICA and Algebraic ICA Algorithms
Author :
Acharya, D.P. ; Panda, G. ; Lakshmi, Y.V.S.
Author_Institution :
Center for Dev. of Telematics, Bangalore
Abstract :
Independent component analysis (ICA) technique separates mixed signals blindly without any information of mixing system. The present work evaluates the error performance of fast ICA and algebraic ICA algorithms for their fixed-point implementations. Simulation study is carried on both fixed and floating point ICAs. It is observed that the word length greatly influences the separation performance. Out of the two ICAs studied the algebraic ICA offers superior performance when the same word length is used in both the cases.
Keywords :
algebra; blind source separation; independent component analysis; algebraic ICA algorithms; blind mixed signals separation; fast ICA algorithms; fixed-point error evaluation; independent component analysis; Computational modeling; Fixed-point arithmetic; Image analysis; Independent component analysis; Length measurement; Matrix decomposition; Random variables; Signal analysis; Signal processing algorithms; Telematics;
Conference_Titel :
Industrial Technology, 2006. ICIT 2006. IEEE International Conference on
Conference_Location :
Mumbai
Print_ISBN :
1-4244-0726-5
Electronic_ISBN :
1-4244-0726-5
DOI :
10.1109/ICIT.2006.372692
