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2008

On the granularity of summative kernels

13 years 3 months ago
On the granularity of summative kernels
In this paper, we propose granularity as a new index to characterize the nonspecificity of a summative kernel. This index is intended to reflect the behavior of a kernel in the usual signal processing applications. We show, in different experiments, that two kernels having the same granularity have very similar behavior. This granularity-based adaptation is compared to other adaptation methods. These experiments highlight the ability of the granularity index to measure the spreading and collecting properties of a summative kernel. Key words: summative, maxitive kernels, granularity, possibility, probability theory, signal processing, adaptation
Kevin Loquin, Olivier Strauss
Added 10 Dec 2010
Updated 10 Dec 2010
Type Journal
Year 2008
Where FSS
Authors Kevin Loquin, Olivier Strauss
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