RAND Lab@ FIU

RF, Analog, and Digital Laboratory for Advanced Signal Processing Circuits at Florida International University

New Paper at IEEE TAES

November 29, 2018  /  Arjuna Madanayake

The paper titled “Deep Learning based Radio-Signal Identification with Hardware Design” has been accepted at IEEE Trans. on Aerospace and Electronic Systems. The authors are Gihan Mendis, Jin Wei Kocsis, and Arjuna Madanayake.

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This research is sponsored by Ocius Technologies via an STTR Phase-2 award from DARPA Defense Science Office (DSO).


[ 1] N. Udayanga, A. Madanayake, S. I. Hariharan, J. Liang, S. Mandal, L. Belostotski, and L. T. Bruton, “A Radio Frequency Analog Computer for Computational Electromagnetics,” IEEE Journal of Solid-State Circuits (JSSC), pp. 1–1, 2020.

 

[2] N. Udayanga, S. I. Hariharan, S. Mandal, L. Belostotski, L. T. Bruton, and A. Madanayake, “Continuous-Time Algorithms for Solving Maxwell’s Equations Using Analog Circuits,” IEEE Trans. Circuits Syst. I, Reg. Papers, vol. 66, no. 10, pp. 3941–3954, Oct. 2019.

 

[3] N. Udayanga, A. Madanayake, S. I. Hariharan, and N. Hawk, “Continuous-Time Analog Computing Circuits for Solving the Electromagnetic Wave Equation,” in Proc. IEEE Int. Symp. Circuits Syst. (ISCAS), May 2018, pp. 1–5.

 

[4] N. Udayanga, A. Madanayake, and S. I. Hariharan, “Continuous-Time Algorithms for Solving the Electromagnetic Wave Equation in Analog ICs,” in Proc. IEEE 60th Int. Midwest Symp. Circuits Syst. (MWSCAS), Aug. 2017, pp. 29–32.