Speakers
Mr
Alex Otavia Ngomane
(University of Venda)
Dr
Eric Maluta
(University of Venda)
Prof.
Robert de Mello Koch
(University of the Witwatersrand)
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No
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Abstract content <br> (Max 300 words)<br><a href="http://events.saip.org.za/getFile.py/access?resId=0&materialId=0&confId=34" target="_blank">Formatting &<br>Special chars</a>
We consider the bioelectromagnetic inverse problem, in the case that one has a priori information about the generating sources. This problem is ill posed, so that additional input must be used before any inverse can be constructed. We consider two approaches to this problem: maximum-likelihood estimation as well as minimum norm estimation. We show how to make use of a priori information, if it is available. We argue that the minimum norm solution is a valuable approach to this problem.
Primary authors
Mr
Alex Otavia Ngomane
(University of Venda)
Dr
Eric Maluta
(University of Venda)
Prof.
Robert de Mello Koch
(University of the Witwatersrand)