Please use this identifier to cite or link to this item: https://dspace.iiti.ac.in/handle/123456789/6694
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dc.contributor.authorShukla, Niraj Kumaren_US
dc.date.accessioned2022-03-17T01:00:00Z-
dc.date.accessioned2022-03-21T10:50:14Z-
dc.date.available2022-03-17T01:00:00Z-
dc.date.available2022-03-21T10:50:14Z-
dc.date.issued2015-
dc.identifier.citationShukla, N. K., & Vyas, A. (2015). Multiresolution analysis through low-pass filter on local fields of positive characteristic. Complex Analysis and Operator Theory, 9(3), 631-652. doi:10.1007/s11785-014-0396-9en_US
dc.identifier.issn1661-8254-
dc.identifier.otherEID(2-s2.0-84939885103)-
dc.identifier.urihttps://doi.org/10.1007/s11785-014-0396-9-
dc.identifier.urihttps://dspace.iiti.ac.in/handle/123456789/6694-
dc.description.abstractThe concept of wavelet basis on the integers can be generalized to a countable subset of a local field having positive characteristic by using a prime element of such a field. In this paper, we provide a characterization of first-stage discrete wavelet system on a countable subset of a local field of positive characteristic. Further, we obtain some results on refinement equation and refinement coefficients which provide sufficient conditions for a function to be a solution of the refinement equation and generate a multiresolution analysis on the local fields. © 2014, Springer Basel.en_US
dc.language.isoenen_US
dc.publisherBirkhauser Verlag AGen_US
dc.sourceComplex Analysis and Operator Theoryen_US
dc.titleMultiresolution Analysis Through Low-Pass Filter on Local Fields of Positive Characteristicen_US
dc.typeJournal Articleen_US
Appears in Collections:Department of Mathematics

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