Search Results for author: Mehdi Rahmati

Found 2 papers, 0 papers with code

Source Feature Compression for Object Classification in Vision-Based Underwater Robotics

no code implementations28 Dec 2021 Xueyuan Zhao, Mehdi Rahmati, Dario Pompili

New efficient source feature compression solutions are proposed based on a two-stage Walsh-Hadamard Transform (WHT) for Convolutional Neural Network (CNN)-based object classification in underwater robotics.

Classification Feature Compression +1

Location-aware Beamforming for MIMO-enabled UAV Communications: An Unknown Input Observer Approach

no code implementations20 Nov 2021 Alireza Mohammadi, Mehdi Rahmati, Hafiz Malik

Numerous communications and networking challenges prevent deploying unmanned aerial vehicles (UAVs) in extreme environments where the existing wireless technologies are mainly ground-focused; and, as a consequence, the air-to-air channel for UAVs is not fully covered.

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