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dc.contributor.authorGrech, Ryan-
dc.contributor.authorGatt, Edward-
dc.contributor.authorGrech, Ivan-
dc.contributor.authorMicallef, Joseph-
dc.date.accessioned2017-03-25T20:47:28Z-
dc.date.available2017-03-25T20:47:28Z-
dc.date.issued2008-
dc.identifier.citationGrech, R., Gatt, E., Grech, I., & Micallef, J. (2008). Digital implementation of cellular neural networks. 15th IEEE International Conference on Electronics, Circuits and Systems, St. Julians. 710-713.en_GB
dc.identifier.urihttps://www.um.edu.mt/library/oar//handle/123456789/17816-
dc.description.abstractThis paper presents a digital cellular neural network (CNN) for digital image processing applications. The CNN is a relatively new field in this research, making use of a high degree of parallelism to achieve higher levels of processing power which continuously paves new ways of how problems can be tackled. A digital architecture is employed due to the fact that digital devices allow for a very robust, yet simple and modular design while at the same time maintaining established performance standards. Digital design was carried out with VHDL using an iterative design methodology, meaning that only one out of several building blocks are chosen to ensure optimality, robustness and operational correctness. The main design objectives were to construct a digital CNN architecture which is fast and compact for digital image processing applications like next generation digital cameras.en_GB
dc.language.isoenen_GB
dc.publisherInstitute of Electrical and Electronics Engineers Inc.en_GB
dc.rightsinfo:eu-repo/semantics/restrictedAccessen_GB
dc.subjectField programmable gate arraysen_GB
dc.subjectNeural networks (Computer science)en_GB
dc.subjectCell phone systemsen_GB
dc.subjectImage processingen_GB
dc.subjectIterative methods (Mathematics)en_GB
dc.titleDigital implementation of cellular neural networksen_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.conferencename15th IEEE International Conference on Electronics, Circuits and Systemsen_GB
dc.bibliographicCitation.conferenceplaceSt. Julians, Malta, 31/08-03/09/2008en_GB
dc.description.reviewedpeer-revieweden_GB
dc.identifier.doi10.1109/ICECS.2008.4674952-
Appears in Collections:Scholarly Works - FacICTMN

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