Deep learning has made significant progress in remote sensing and target recognition in recent decades. However, as a data-driven method, its development has encountered great challenges in computing speed and power c...
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With the growing influence of machine learning, it brings benefits to the inverse problem of imaging through scattering media in computational imaging. This study introduces an innovative opto-electronic fully convolu...
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Light scattering has been a pervasive issue in past decades across many areas. The scattering medium not only destroys the imaging performance in remote sensing but also sets challenges in automatic target recognition...
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Performance between core and cladding pump schemes are simulatively compared based on weakly-coupled 7-core-single-mode and 7-core-3-mode EDFs. The results show that the two schemes have significant performance differ...
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We propose and experimentally demonstrate an efficient equalization-enhanced phase noise compensation scheme for long-haul coherent transmission. The distance is extended by 1780km and 470km for 788.4-Gb/s/λ and 968....
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In the paper, we design a monitoring and management system (MMS) for optical fiber time transfer (OFTT) based on manager/agent model. The proposed system includes monitoring and management server (MM-Server), monitori...
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A distributed dispersion manage system is proposed for mitigating fibre nonlinearities and dispersion in fibre transmission through optimizing accumulated chromatic dispersion (aCD) distribution. 0.7 dB OSNR improveme...
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We proposed and demonstrated fast light and superluminal propagation based on Rayleigh scattering-induced Brillouin random lasing resonance in optical fibers. A theoretical model of the proposed Brillouin superluminal...
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