3 papers
eess.SP2026
Common-Loss Parameter-Efficiency Analysis of MLP and KAN Neural Receivers for Digital Communications
Sude Ertan, Osman Tokluoglu, Enver Cavus
Classical coherent binary phase-shift keying (BPSK) reception over additive white Gaussian noise (AWGN) channels is analytically well understood, and the optimum hard-decision dete…
eess.SP2026
A Comparative Analysis of MLP and Kolmogorov-Arnold Networks (KAN) for Faster-than-Nyquist (FTN) Signaling Detection
Sude Ertan, Osman Tokluoglu, Enver Cavus
Faster-than-Nyquist signaling improves spectral ef- ficiency by deliberately introducing inter-symbol interference. Classical sequence detectors such as BCJR can approach optimal p…
eess.IV2026
Compact Convolutional Segmentation for Visual Landmark Extraction in GNSS-Denied UAV Navigation
Sude Ertan, Osman Tokluoglu, Mustafa Ozturk
Reliable localization of unmanned aerial vehicles (UAVs) becomes challenging when Global Navigation Satellite System (GNSS) signals are degraded, blocked, or intentionally jammed.…