@inproceedings{5adfd4ac69464cc09c212d5cfa7fb653,
title = "Source identification and separation using global matrix parameters of ICA",
abstract = "Successful separation of independent sources using Blind Source Separation (BSS) techniques requires estimating the number of independent sources in the mixture. Independent component analysis (ICA) is on of the widely used BSS techniques for source separation and identification in audio and bio signal processing. This paper has proposed the use of determinant of the global matrix of ICA as a measure of the number of independent and dependent sources in a mixture of signals. The paper reports experimental verification of the proposed technique where the values of the determinant are seen to be closely based on the number of dependent sources in the mixture.",
author = "Naik, {Ganesh R.} and Kumar, {Dinesh K.} and Marimuthu Palaniswami",
year = "2008",
doi = "10.1109/CIT.2008.Workshops.58",
language = "English",
isbn = "9780769533391",
series = "Proceedings - 8th IEEE International Conference on Computer and Information Technology Workshops, CIT Workshops 2008",
publisher = "Institute of Electrical and Electronics Engineers",
pages = "700--705",
booktitle = "2008 IEEE 8th International Conference on Computer and Information Technology Workshops",
address = "United States",
note = "8th IEEE International Conference on Computer and Information Technology Workshops, CIT Workshops 2008 ; Conference date: 08-07-2008 Through 11-07-2008",
}