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Permanent URL to this publication: http://dx.doi.org/10.5167/uzh-47569

Omran, S (2011). Detecting diagonal activity to quantify harmonic structure preservation with cochlear implant mapping. International Journal of Robotics and Automation, 1(5):100-112.



Matrix multiplication is widely utilized in signal and image processing. In numerous cases, it may be considered faster than conventional algorithms. Images and sounds may be presented in a multi-dimensional matrix form. An application under study is detecting diagonal activities in matrices to quantify the amount of harmonic structure preservation of musical tones using different algorithms that may be employed in cochlear implant devices. In this paper, a new matrix called "Omran matrix" has been proposed. When it is post multiplied with another matrix, the first row of the output represents indices of fully active detected diagonals in its upper triangle. A preprocessing matrix manipulation might be mandatory. The results show that the proposed matrix is powerful in this application and illustrated higher grade of harmonic structure preservation of one algorithm used for cochlear implants with respect to other algorithms.



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Additional indexing

Item Type:Journal Article, not refereed, original work
Communities & Collections:04 Faculty of Medicine > University Hospital Zurich > Clinic for Otorhinolaryngology
07 Faculty of Science > Institute of Neuroinformatics
Dewey Decimal Classification:570 Life sciences; biology
610 Medicine & health
Uncontrolled Keywords:Robotics, Cochlear Implant, Diagonal Detecting, Lines Detecting, Matrix, Harmonic Structure, Music
Date:10 March 2011
Deposited On:17 Mar 2011 07:48
Last Modified:05 Apr 2016 14:53
Publisher:Computer Science Journals
Funders:University of Zurich
Free access at:Official URL. An embargo period may apply.
Official URL:http://www.cscjournals.org/csc/manuscriptinfo.php?ManuscriptCode=

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