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20222026
most citedArtificial Neural Networks for Photonic Applications: From Algorithms to Implementation

82 citations · 150 across the 20 of their papers we have counts for

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5 papers · 1 filter

eess.SP2026

DPD-KAN: Kolmogorov-Arnold Networks for Low Complexity Digital Predistortion in 5G Analog Radio-over-Fiber Systems

Bilal Khalid, Fabio Cavaliere, Luca Giorgi +3

We demonstrate the first KAN-based DPD model for 5G analog RoF fronthaul link, achieving a 24.2% lower EVM than multi-layer perceptron and 29.6% lower than Volterra-based GMP at eq…

eess.SP2024

FPGA Implementation of Low-Power Multiplierless Pre-Processing Free Chromatic Dispersion Equalizer

Geraldo Gomes, Pedro Freire, Jaroslaw E. Prilepsky +1

We present a novel time-domain chromatic dispersion equalizer, implemented on FPGA, eliminating pre-processing and multipliers, achieving up to 54.3% energy savings over 80-1280 km…

eess.SP2024

FPGA Implementation of Complex Value-based Clustering Filter for Chromatic Dispersion Compensation in Coherent Metro Links with Ultra-low Power Consumption

Geraldo Gomes, Pedro Freire, Jaroslaw E. Prilepsky +1

This paper introduces a new machine learning-assisted chromatic dispersion compensation filter, demonstrating its superior power efficiency compared to conventional FFT-based filte…

eess.SP2024

Geometric Clustering for Hardware-Efficient Implementation of Chromatic Dispersion Compensation

Geraldo Gomes, Pedro Freire, Jaroslaw E. Prilepsky +1

Power efficiency remains a significant challenge in modern optical fiber communication systems, driving efforts to reduce the computational complexity of digital signal processing,…

eess.SP2022★ 42 cited

Computational Complexity Evaluation of Neural Network Applications in Signal Processing

Pedro Freire, Sasipim Srivallapanondh, Antonio Napoli +2

In this paper, we provide a systematic approach for assessing and comparing the computational complexity of neural network layers in digital signal processing. We provide and link…