Zobrazeno 1 - 10
of 226
pro vyhledávání: '"Boscolo, Sonia A."'
Field-Enhanced Filtering in MIMO Learned Volterra Nonlinear Equalisation of Multi-Wavelength Systems
We propose a novel MIMO-WDM Volterra-based nonlinear-equalisation scheme with adaptive time-domain nonlinear stages enhanced by filtering in both the power and optical signal waveforms. This approach efficiently captures the interplay between dispers
Externí odkaz:
http://arxiv.org/abs/2407.07705
We develop a complex-valued kernel-adaptive-filtering based method for phase and amplitude distortion compensation in cascaded fibre-optical parametric amplifier (FOPA) links. Our algorithm predicts and cancels both distortions induced by pump-phase
Externí odkaz:
http://arxiv.org/abs/2406.16239
We report on the experimental and numerical observations of synchronisation and desynchronisation of bound states of multiple breathing solitons (breathing soliton molecules) in an ultrafast fibre laser. In the desynchronisation regime, although the
Externí odkaz:
http://arxiv.org/abs/2312.00999
Extreme wave events or rogue waves (RWs) are both statistically rare and of exceptionally large amplitude. They are observed in many complex systems ranging from oceanic and optical environments to financial models and Bose-Einstein condensates. As t
Externí odkaz:
http://arxiv.org/abs/2309.02643
We deploy a supervised machine-learning model based on a neural network to predict the temporal and spectral reshaping of a simple sinusoidal modulation into a pulse train having a comb structure in the frequency domain, which occurs upon nonlinear p
Externí odkaz:
http://arxiv.org/abs/2303.09133
Nonlinear systems with two competing frequencies show locking or resonances. In lasers, the two interacting frequencies can be the cavity repetition rate and a frequency externally applied to the system. Conversely, the excitation of breather oscilla
Externí odkaz:
http://arxiv.org/abs/2208.05091
Autor:
Finot, Christophe, Boscolo, Sonia
We describe a research project carried out with a group of undergraduate physics students and aimed at exploring the use of a neural network to study a classical problem in wave optics whose analytical solution is well known: the diffraction of light
Externí odkaz:
http://arxiv.org/abs/2201.03431
Harnessing pulse generation from an ultrafast laser is a challenging task as reaching a specific mode-locked regime generally involves adjusting multiple control parameters, in connection with a wide range of accessible pulse dynamics. Machine-learni
Externí odkaz:
http://arxiv.org/abs/2108.09869
Autor:
Peng, Junsong, Zhao, Zihan, Boscolo, Sonia, Finot, Christophe, Sugavanam, Srikanth, Churkin, Dmitry V., Zeng, Heping
Breathing solitons are nonlinear waves in which the energy concentrates in a localized and oscillatory fashion. Similarly to stationary solitons, breathers in dissipative systems can form stable bound states displaying molecule-like dynamics, which a
Externí odkaz:
http://arxiv.org/abs/2103.16740
We expand our previous analysis of nonlinear pulse shaping in optical fibres using machine learning [Opt. Laser Technol., 131 (2020) 106439] to the case of pulse propagation in the presence of gain/loss, with a special focus on the generation of self
Externí odkaz:
http://arxiv.org/abs/2012.01092