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Neural spike representation using Cepstrum
conference contribution
posted on 2014-01-01, 00:00 authored by Sherif Haggag, Shady MohamedShady Mohamed, Asim BhattiAsim Bhatti, Hussein Haggag, Saeid NahavandiNeural spikes define the human brain function. An accurate extraction of spike features leads to better understanding of brain functionality. The main challenge of feature extraction is to mitigate the effect of strong background noises. To address this problem, we introduce a new feature representation for neural spikes based on Cepstrum of multichannel recordings. Simulation results indicated that the proposed method is more robust than the existing Haar wavelet method.
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Event
System of Systems Engineering. Conference (2014 : Adelaide, South Australia)Pagination
97 - 100Publisher
IEEELocation
Adelaide, South AustraliaPlace of publication
Piscataway, N.J.Publisher DOI
Start date
2014-06-09End date
2014-06-13ISBN-13
9781479952274Language
engPublication classification
E Conference publication; E1 Full written paper - refereedCopyright notice
2014, Institute of Electrical and Electronics EngineersEditor/Contributor(s)
[Unknown]Title of proceedings
SOSE 2014 : The Socio-Technical Perspective : Proceedings of the 9th International Conference on System of Systems EngineeringUsage metrics
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