RAND Lab@ FIU

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

New Paper at JLPEA

November 22, 2018  /  Arjuna Madanayake

New journal paper titled “Low-Complexity Loeffler DCT Approximations for Image and Video Coding” has been published at MDPI Journal of Low Power Electronics and Applications. Authors are Diego Coelho, Renato Cintra, Fabio Bayer, Sunera Kulasekera, Arjuna Madanayake, Paulo Martinez, Thiago Silvera, Raiza Oliveira, and Vassil Dimitrov.

The link to the paper can be found here.

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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.