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Please use this identifier to cite or link to this item: https://www.um.edu.mt/library/oar/handle/123456789/59263
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dc.contributor.authorGauci, Jordan Lee-
dc.contributor.authorGatt, Edward-
dc.contributor.authorCasha, Owen-
dc.contributor.authorDe Cataldo, Giacinto-
dc.contributor.authorGrech, Ivan-
dc.contributor.authorMicallef, Joseph-
dc.date.accessioned2020-08-03T08:59:32Z-
dc.date.available2020-08-03T08:59:32Z-
dc.date.issued2019-
dc.identifier.citationGauci, J. L., Gatt, E., Casha, O., De Cataldo, G., Grech, I., & Micallef J. (2019). Particle swarm optimization of a rail-to-rail delay element for maximum linearity. 2019 6th International Conference on Control, Decision and Information Technologies (CoDIT), Paris.en_GB
dc.identifier.urihttps://www.um.edu.mt/library/oar/handle/123456789/59263-
dc.description.abstractThis paper illustrates the use of the Particle Swarm Optimization (PSO) algorithm to maximize the linearity of a rail-to-rail delay element. Previous approaches relied on approximating the piecewise time-delay model of the delay element through either the Newton Polynomial or the Lagrange Polynomial methods. While adequate linearity was achieved in both cases, this could be further improved. This work successfully employed the PSO algorithm to improve the linearity by reducing the mean square error such that the delay element exhibits a spurious-free dynamic range of 29.62 dB, with a delay range of 170.4 ns. The results were verified in Cadence using the X-FAB 0.18 μm technology.en_GB
dc.language.isoenen_GB
dc.publisherInstitute of Electrical and Electronics Engineersen_GB
dc.rightsinfo:eu-repo/semantics/restrictedAccessen_GB
dc.subjectMathematical modelsen_GB
dc.subjectTransistorsen_GB
dc.subjectIntegrated circuits -- Design and constructionen_GB
dc.subjectGenetic algorithmsen_GB
dc.titleParticle swarm optimization of a rail-to-rail delay element for maximum linearityen_GB
dc.typeconferenceObjecten_GB
dc.rights.holderThe copyright of this work belongs to the author(s)/publisher. The rights of this work are as defined by the appropriate Copyright Legislation or as modified by any successive legislation. Users may access this work and can make use of the information contained in accordance with the Copyright Legislation provided that the author must be properly acknowledged. Further distribution or reproduction in any format is prohibited without the prior permission of the copyright holder.en_GB
dc.bibliographicCitation.conferencename2019 6th International Conference on Control, Decision and Information Technologies (CoDIT)en_GB
dc.bibliographicCitation.conferenceplaceParis, France, 23-26/04/2019en_GB
dc.description.reviewedpeer-revieweden_GB
dc.identifier.doi10.1109/CoDIT.2019.8820597-
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