6 papers
Agentic Physical-AI for Self-Aware RF Systems
Linuka Ratnayake, Danidu Dabare, Sanuja Rupasinghe +4
Intelligent control of RF transceivers adapting to dynamic operational conditions is essential in the modern and future communication systems. We propose a multi-agent neurosymboli…
A Light Weight Neural Network for Automatic Modulation Classification in OFDM Systems
Indiwara Nanayakkara, Dehan Jayawickrama, Dasuni Jayawardena +2
Automatic Modulation Classification (AMC) is a vital component in the development of intelligent and adaptive transceivers for future wireless communication systems. Existing stati…
General Framework for Array Noise Analysis and Noise Performance of a Two-Element Interferometer With a Mutual-Coupling Canceler
Leonid Belostotski, Adrian T. Sutinjo, Ravi Subrahmanyan +2
This article investigates the noise performance of a two-element phased array and interferometer containing a recently introduced self-interference canceler, which in the context o…
A Low-complexity Structured Neural Network Approach to Intelligently Realize Wideband Multi-beam Beamformers
Hansaka Aluvihare, Sivakumar Sivasankar, Xianqi Li +2
True-time-delay (TTD) beamformers can produce wideband, squint-free beams in both analog and digital signal domains, unlike frequency-dependent FFT beams. Our previous work showed…
Fast Data-independent KLT Approximations Based on Integer Functions
A. P. Radünz, D. F. G. Coelho, F. M. Bayer +2
The Karhunen-Loève transform (KLT) stands as a well-established discrete transform, demonstrating optimal characteristics in data decorrelation and dimensionality reduction. Its a…
Low-complexity Image and Video Coding Based on an Approximate Discrete Tchebichef Transform
P. A. M. Oliveira, R. J. Cintra, F. M. Bayer +3
The usage of linear transformations has great relevance for data decorrelation applications, like image and video compression. In that sense, the discrete Tchebichef transform (DTT…