Spin-Torque Based Radio-Frequency Signal Classification Front-End

Research output: Contribution to book/anthology/report/proceedingArticle in proceedingsResearchpeer-review


Many classification applications rely on real-time processing and detection of RF signals at high frequencies. RF signal sampling requires sophisticated hardware, i.e., broadband analog front-ends and high-speed analog-to-digital converters according to the well-known Shannon-Nyquist theorem. Such devices either are expensive or suffer from limited detection bandwidths and sampling rates. Here, we proposed a novel spintronic-based classification front-end for real-time analysis and classification of RF signals. In comparison to the conventional CMOS-based systems, the proposed system can increase the classification speed dramatically while consuming an order of magnitude less power.

Original languageEnglish
Title of host publication2023 IEEE International Symposium on Circuits and Systems (ISCAS)
Publication dateJul 2023
ISBN (Electronic)978-1-6654-5109-3, 978-1-6654-5110-9
Publication statusPublished - Jul 2023
EventThe IEEE International Symposium on Circuits and Systems (ISCAS) -
Duration: 21 May 202325 May 2023


ConferenceThe IEEE International Symposium on Circuits and Systems (ISCAS)
SeriesIEEE International Symposium on Circuits and Systems proceedings


  • Low noise amplifier
  • noise
  • spin-torque diode effect
  • spintronic
  • vortex nano-oscillators


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