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F. J. Vaquero-Caballero

4 papers hereh-index 7192 citations16 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author3
  • middle author1

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • eess.SP4
same name
  • F. J. Vaquero-Caballero — 1 paper

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20202023
most citedTransceiver Noise Characterization based on Perturbations

7 citations · 8 across the 3 of their papers we have counts for

collaborators

4 papers

eess.SP2023

Experimental Demonstration of Stokes Space Equalization for Space Division Multiplexed Signals

F. J. Vaquero-Caballero, Gernot Goeger, Fabio Pittala +2

In this letter we experimentally validate, for the first time, the Stokes space algorithm (SSA) equalizer for space division multiplexing (SDM) transmission systems. We introduce t…

eess.SP2021★ 7 cited

Transceiver Noise Characterization based on Perturbations

F. J. Vaquero-Caballero, D. J. Ives, S. J. Savory

In this paper, we discuss a new technique for measuring transceiver noise, skew, and for the detection of uncompensated transceiver impairments. The method consists on the introduc…

eess.SP2020★ 1 cited

In-band Perturbation based OSNR Estimation

F. J. Vaquero-Caballero, D. Charlton, M. E. Mousa-Pasandi +6

Perturbed spectra are modelled to estimate OSNR for a single channel amplified link. Perturbation-dependent nonlinear noise is separated from constant ASE noise using a set of prop…

eess.SP2020

Neural Network Training for OSNR Estimation -- From Prototype to Product

Andrew D. Shiner, Mohammad E. Mousa-Pasandi, Meng Qiu +6

A method for in-service OSNR measurement with a coherent transceiver is presented and experimentally verified. A neural network is employed to identify and remove the nonlinear noi…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.