Design and implementation of a nano-scale high-speed multiplier for signal processing applications

dc.authorscopusid57202686649
dc.authorscopusid59125628000
dc.authorscopusid56520238800
dc.authorscopusid6603417688
dc.authorscopusid58833344600
dc.authorscopusid57914548200
dc.authorscopusid57914548200
dc.contributor.authorKerestecioğlu, Feza
dc.contributor.authorNavimipour,N.J.
dc.contributor.authorAin,N.U.
dc.contributor.authorKerestecioglu,F.
dc.contributor.authorYalcin,S.
dc.contributor.authorAvval,D.B.
dc.contributor.authorHosseinzadeh,M.
dc.date.accessioned2024-10-15T19:42:41Z
dc.date.available2024-10-15T19:42:41Z
dc.date.issued2024
dc.departmentKadir Has Universityen_US
dc.department-tempAhmadpour S.-S., Department of Computer Engineering, Faculty of Engineering and Natural Sciences, Kadir Has University, Istanbul, Turkey; Navimipour N.J., Department of Computer Engineering, Faculty of Engineering and Natural Sciences, Kadir Has University, Istanbul, Turkey; Ain N.U., Department of Business Administration, Kadir Has University, Istanbul, Turkey; Kerestecioglu F., Department of Computer Engineering, Faculty of Engineering and Natural Sciences, Kadir Has University, Istanbul, Turkey; Yalcin S., Department of Energy System Engineering, School of Engineering and Natural Sciences, Bahçeşehir University, Istanbul, Turkey; Avval D.B., Department of Information Systems Engineering, Sakarya University, Sakarya, Turkey; Hosseinzadeh M., Institute of Research and Development, Duy Tan University, Da Nang, Viet Nam, School of Medicine and Pharmacy, Duy Tan University, Da Nang, Viet Namen_US
dc.description.abstractDigital signal processing (DSP) is an engineering field involved with increasing the precision and dependability of digital communications and mathematical processes, including equalization, modulation, demodulation, compression, and decompression, which can be used to produce a signal of the highest caliber. To execute vital tasks in DSP, an essential electronic circuit such as a multiplier plays an important role, continually performing tasks such as the multiplication of two binary numbers. Multiplier is a crucial component utilized to implement a wide range of DSP tasks, including convolution, Fourier transform, discrete wavelet transforms (DWT), filtering and dithering, multimedia information processing, and more. A multiplier device includes a clock and reset buttons for more flexible operational control. Each digital signal processor constitutes a multiplier unit. A multiplier unit functions entirely autonomously from the central processing unit (CPU); consequently, the CPU is burdened with a significantly reduced amount of work. Since DSP algorithms must constantly carry out multiplication tasks, the employment of a high-speed multiplier to execute fast-speed filtering processes is vital. The previous multipliers had lots of weaknesses, such as high energy, low speed, and high area, because they implemented this necessary circuit based on traditional technology such as complementary metal-oxide semiconductor (CMOS) and very large-scale integration (VLSI). To solve all previous drawbacks in this necessary circuit, we can use nanotechnology, which directly affects the performance of the multiplier and can overcome all previous issues. One of the alternative nanotechnologies that can be used for designing digital circuits is quantum dot cellular automata, which is high speed, low area, and low power. Therefore, this manuscript suggests a quantum technology-based multiplier for DSP applications. In addition, some vital circuits, such as half adder, full adder, and ripple carry adder (RCA), are suggested for designing a multiplier. Moreover, a systolic array, accumulator, and multiply and accumulate (MAC) unit are proposed based on the quantum technology-based multiplier. Nonetheless, each of the suggested frameworks has a coplanar configuration without rotated cells. The suggested structure is developed and verified utilizing the QCADesigner 2.0.3 tools. The findings showed that all circuits have no complicated configuration, including a higher number of quantum cells, latency, and an optimum area. © 2024 Elsevier B.V.en_US
dc.description.sponsorshipTürkiye Bilimsel ve Teknolojik Araştırma Kurumu, TÜBİTAK, (122E132)en_US
dc.identifier.citation0
dc.identifier.doi10.1016/j.nancom.2024.100523
dc.identifier.issn1878-7789
dc.identifier.scopus2-s2.0-85198032364
dc.identifier.scopusqualityQ2
dc.identifier.urihttps://doi.org/10.1016/j.nancom.2024.100523
dc.identifier.urihttps://hdl.handle.net/20.500.12469/6567
dc.identifier.volume41en_US
dc.identifier.wosqualityQ2
dc.language.isoenen_US
dc.publisherElsevier B.V.en_US
dc.relation.ispartofNano Communication Networksen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectDigital signal processingen_US
dc.subjectMultiplieren_US
dc.subjectNanotechnologyen_US
dc.subjectQcadesigneren_US
dc.subjectSystolic arrayen_US
dc.titleDesign and implementation of a nano-scale high-speed multiplier for signal processing applicationsen_US
dc.typeArticleen_US
dspace.entity.typePublication
relation.isAuthorOfPublication3b717ed5-ce95-4f19-b9d0-f544789c28da
relation.isAuthorOfPublication.latestForDiscovery3b717ed5-ce95-4f19-b9d0-f544789c28da

Files