Science Daily August 9, 2018 Researchers in Switzerland used deep neural networks (DNNs) to classify and reconstruct the input images from the intensity of the speckle patterns that result after the inputs are propagated through multimode fiber. They demonstrated this result for fibers up to 1 km long by training the DNNs with a database of 16,000 handwritten digits. Better recognition accuracy was obtained when the DNNs were trained to first reconstruct the input and then classify based on the recovered image. They reported remarkable robustness against environmental instabilities and tolerance to deviations of the input pattern from the patterns […]
Tag Archives: Fiber optic transmission
Fiber-optic transmission of 4,000 km made possible by ultra-low-noise optical amplifiers
Eurekalert July 5, 2018 The capacity and reach of long-haul fiber optical communication systems is limited by in-line amplifier noise and fiber nonlinearities. An international team of researchers (Sweden, Estonia) has demonstrated a multi-channel-compatible and modulation-format-independent long-haul transmission link with in-line phase-sensitive amplifiers with an improvement of 5.6 times at optimal launch powers with the phase-sensitively amplified link operating at a total accumulated nonlinear phase shift of 6.2 rad. The link transmits two data-carrying waves, thus occupying twice the bandwidth and propagating twice the total power compared to the phase-insensitively amplified link… read more. Open Access TECHNICAL ARTICLE