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DC Field | Value | Language |
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dc.contributor.author | Gauci, Jordan Lee | - |
dc.contributor.author | Gatt, Edward | - |
dc.contributor.author | Casha, Owen | - |
dc.contributor.author | De Cataldo, Giacinto | - |
dc.contributor.author | Grech, Ivan | - |
dc.contributor.author | Micallef, Joseph | - |
dc.date.accessioned | 2020-08-03T08:59:32Z | - |
dc.date.available | 2020-08-03T08:59:32Z | - |
dc.date.issued | 2019 | - |
dc.identifier.citation | Gauci, 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.uri | https://www.um.edu.mt/library/oar/handle/123456789/59263 | - |
dc.description.abstract | This 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.iso | en | en_GB |
dc.publisher | Institute of Electrical and Electronics Engineers | en_GB |
dc.rights | info:eu-repo/semantics/restrictedAccess | en_GB |
dc.subject | Mathematical models | en_GB |
dc.subject | Transistors | en_GB |
dc.subject | Integrated circuits -- Design and construction | en_GB |
dc.subject | Genetic algorithms | en_GB |
dc.title | Particle swarm optimization of a rail-to-rail delay element for maximum linearity | en_GB |
dc.type | conferenceObject | en_GB |
dc.rights.holder | The 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.conferencename | 2019 6th International Conference on Control, Decision and Information Technologies (CoDIT) | en_GB |
dc.bibliographicCitation.conferenceplace | Paris, France, 23-26/04/2019 | en_GB |
dc.description.reviewed | peer-reviewed | en_GB |
dc.identifier.doi | 10.1109/CoDIT.2019.8820597 | - |
Appears in Collections: | Scholarly Works - FacICTMN |
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