论文信息 - Optimization rules and performance analysis of filtered digital backpropagation

Optimization rules and performance analysis of filtered digital backpropagation

Optimization rules for filtered digital back-propagation parameters are provided and validated both numerically and experimentally, considering channel count, launched power, symbol rate, dispersion, attenuation, and nonlinear coefficient. Performance prediction of the compensated system using Gaussian noise model is addressed.

Amirhossein Ghazisaeidi | Gabriel Charlet | Ivan Fernandez de Jauregui Ruiz

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