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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.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,…

cs.LG2024

Improving Analog Neural Network Robustness: A Noise-Agnostic Approach with Explainable Regularizations

Alice Duque, Pedro Freire, Egor Manuylovich +3

This work tackles the critical challenge of mitigating "hardware noise" in deep analog neural networks, a major obstacle in advancing analog signal processing devices. We propose a…

cs.LG2024★ 82 cited

Artificial Neural Networks for Photonic Applications: From Algorithms to Implementation

Pedro Freire, Egor Manuylovich, Jaroslaw E. Prilepsky +1

This tutorial-review on applications of artificial neural networks in photonics targets a broad audience, ranging from optical research and engineering communities to computer scie…