Residual dispersion is a key factor affecting the stability of fiber optic frequency transfer system. For long-distance stable frequency transfer, dispersion compensation fiber (DCF) is used to compensate for the disp...
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Based on a resistance-capacitance equalizer, we demonstrated a silicon thermo-optic phase shifter with a rise time of 2.3 µs and a modulation bandwidth of 250 kHz, offering 10 times enhancement over the original ...
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We present an amplitude-invariant phase shifter based on a PIN diode embedded in a Mach-Zehnder Interferometer for optical phased arrays. The dynamic power contrast is lower than 0.42 dB over a π phase shift. CLEO 20...
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Modulation mode recognition of radio signal is a committed step between signal detection and signal demodulation. At present, quite a lot studies have fully proved that deep learning algorithms can effectively identif...
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An optical fiber design automation platform based on deep learning is built. It supports the fast, accurate and flexible design of weak-coupling few mode fiber, with arbitrary dispersion single mode fiber and so on. &...
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A constellation independent look-up table (LUT) method for transceiver nonlinearity predistortion in digital-analog radio-over-fiber system is proposed and experimentally demonstrated, achieving a SNR gain of 1.04dB. ...
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We propose a topological insulator supporting topologically protected entangled photon pairs. The continuous frequency entanglement between photon pairs generated from the four-wave mixing process is theoretically cla...
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Pushing artificial intelligence(AI) from central cloud to network edge has reached board consensus in both industry and academia for materializing the vision of artificial intelligence of things(AIoT) in the sixth-gen...
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Pushing artificial intelligence(AI) from central cloud to network edge has reached board consensus in both industry and academia for materializing the vision of artificial intelligence of things(AIoT) in the sixth-generation(6G) era. This gives rise to an emerging research area known as edge intelligence, which concerns the distillation of human-like intelligence from the vast amount of data scattered at the wireless network edge. Typically, realizing edge intelligence corresponds to the processes of sensing, communication,and computation, which are coupled ingredients for data generation, exchanging, and processing, ***, conventional wireless networks design the three mentioned ingredients separately in a task-agnostic manner, which leads to difficulties in accommodating the stringent demands of ultra-low latency, ultra-high reliability, and high capacity in emerging AI applications like auto-driving and metaverse. This thus prompts a new design paradigm of seamlessly integrated sensing, communication, and computation(ISCC) in a taskoriented manner, which comprehensively accounts for the use of the data in downstream AI tasks. In view of its growing interest, this study provides a timely overview of ISCC for edge intelligence by introducing its basic concept, design challenges, and enabling techniques, surveying the state-of-the-art advancements, and shedding light on the road ahead.
We demonstrate a low-loss and low-crosstalk fan-in/fan-out device for three-core fiber using femtosecond laser direct inscription. The fabricated FI/FO device has an averaged insertion loss of 1.33 dB and a crosstalk ...
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