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Eduard Alarcon

Researcher at Polytechnic University of Catalonia

Publications -  357
Citations -  7983

Eduard Alarcon is an academic researcher from Polytechnic University of Catalonia. The author has contributed to research in topics: Buck converter & CMOS. The author has an hindex of 39, co-authored 357 publications receiving 6618 citations. Previous affiliations of Eduard Alarcon include Aristotle University of Thessaloniki & Royal Institute of Technology.

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Graphene-based nano-patch antenna for terahertz radiation

TL;DR: In this article, the scattering of terahertz radiation on a graphene-based nano-patch antenna is numerically analyzed and the extinction cross section of the nano-antenna supported by silicon and silicon dioxide substrates of different thickness is calculated.
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Modeling of Quantization Effects in Digitally Controlled DC–DC Converters

TL;DR: In this paper, the authors derived both static and dynamic models that include quantization effects and used them to explain the origins of limit-cycle oscillations in dc-dc converters with a single voltage feedback loop.
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Three-level buck converter for envelope tracking applications

TL;DR: In this article, a three-level buck converter for tracking applications such as envelope-tracking in radio frequency power amplifiers (RFPAs) was proposed, which can offer advantages in terms of switching ripples, losses, bandwidth, or the size of magnetic components compared to a standard buck or a two-phase buck converter.
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Knowledge-Defined Networking

TL;DR: In this paper, the authors explore the reasons for the lack of adoption and posit that the rise of two recent paradigms: Software-Defined Networking (SDN) and Network Analytics (NA), will facilitate the adoption of AI techniques in the context of network operation and control.
Journal ArticleDOI

Knowledge-Defined Networking

TL;DR: In this article, the authors explore the reasons for the lack of adoption and posit that the rise of two recent paradigms: Software-Defined Networking (SDN) and Network Analytics (NA), will facilitate the adoption of AI techniques in the context of network operation and control.