An optical analog-to-digital converter (OADC) scheme with enhanced bit resolution by using a multimode interference (MMI) coupler as optical quantization is proposed. The mathematical simulation model was established to verify the feasibility and to investigate the robustness of the scheme. Simulation results show that 20 quantization levels (corresponding to 4.32 of effective number of bits (ENOB)) are realized by using only 6 channels, which indicates that the scheme requires much fewer quantization channels or modulators to realize the same amount of ENOB. The scheme is robust and potential for integration.

With the rapid development of Information and Communication Technology, mobile HTTP adaptive streaming (HAS) technologies have gained popularity. Thusly, the ability to evaluate users' Quality of Experience (QoE) is important. However, changing the transmitted video quality as employed by HAS poses more psychological impact like memory effect on subjectively perceived video quality and modeling HAS QoE considering memory effect is still a challenge. In this paper, we propose a QoE model for short-form HAS video considering memory effect. In order to assess the effect that each segment has in the overall video quality, a subjective online test based on the wisdom of the crowds is conducted. The result shows primacy effect is more obvious than recency effect in short-form videos. The proposed method is validated by plenty subjective tests and the simulation results show that our QoE model for short-form video is powerful.

We propose and experimentally demonstrate a novel phase-based optical computing system integrated with photonic AD/DA converters. Further simulation shows that our system can perform 15-bit arithmetic operations when the SNR is around 34 dB.