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M. Anderson

3 papers hereh-index 475 citations4 works total

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

author position
  • middle author3

Across the 3 of 3 papers where every author was matched, so the position is known.

fields
  • eess.SP3
same name
  • M. Anderson — 44 papers
  • M. Anderson — 22 papers, h 1
  • M. Anderson — 17 papers
  • M. Anderson — 14 papers, h 11
  • M. Anderson — 13 papers, h 10
  • M. Anderson — 13 papers, h 2

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

most citedReducing Computational Complexity of Neural Networks in Optical Channel Equalization: From Concepts to Implementation

58 citations · 86 across the 3 of their papers we have counts for

collaborators

3 papers

eess.SP2022★ 23 cited

Implementing Neural Network-Based Equalizers in a Coherent Optical Transmission System Using Field-Programmable Gate Arrays

Pedro J. Freire, Sasipim Srivallapanondh, Michael Anderson +9

In this work, we demonstrate the offline FPGA realization of both recurrent and feedforward neural network (NN)-based equalizers for nonlinearity compensation in coherent optical t…

eess.SP2022★ 58 cited

Reducing Computational Complexity of Neural Networks in Optical Channel Equalization: From Concepts to Implementation

Pedro J. Freire, Antonio Napoli, Diego Arguello Ron +7

In this paper, a new methodology is proposed that allows for the low-complexity development of neural network (NN) based equalizers for the mitigation of impairments in high-speed…

eess.SP2022★ 5 cited

Towards FPGA Implementation of Neural Network-Based Nonlinearity Mitigation Equalizers in Coherent Optical Transmission Systems

Pedro J. Freire, Michael Anderson, Bernhard Spinnler +8

For the first time, recurrent and feedforward neural network-based equalizers for nonlinearity compensation are implemented in an FPGA, with a level of complexity comparable to tha…

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