Bayesian-Frequentist Hybrid Inference in Applications with Small Sample Sizes
The Bayesian-frequentist hybrid model and associated inference can combine the advantages of both Bayesian and frequentist methods and avoid their limitations. However, except for few special cases…
Wavelength Selective Switch-Based Clos Network : Blocking Theory and Performa…
A Clos network is a classical switching network often used in conventional electrical switches. In a Wavelength Selective Switch (WSS) based Clos all-optical switching network, the wavelength dimen…
Learning Human Activity Patterns Using Clustered Point Processes With Active …
Modeling event patterns is a central task in a wide range of disciplines. In applications such as studying human activity patterns, events often arrive clustered with sporadic and long periods of i…
Point Cloud Instance Segmentation With Semi-Supervised Bounding-Box Mining
Point cloud instance segmentation has achieved huge progress with the emergence of deep learning. However, these methods are usually data-hungry with expensive and time-consuming dense point cloud …
Comparison of Beyond 1 GHz C-Plane Freestanding and Sapphire-Substrate GaN-Ba…
With ever-growing demand for 6G networks technology, visible light communication (VLC) as a vital component of 6G has challenging requirement for superior performance of light source. Herein, 20 μ…
Auto Bias Control Technique for Silicon IQ Modulators Using the Dual-Arms Pow…
In high-capacity coherent transmission applications such as 400 Gb/s and beyond, silicon inphase and quadrature modulators (SIQMs) are widely used as a coherent transmitter assembly. The bias point…
High Stability PGC-EFA-DCM Demodulation Algorithm Integrated With a PID Module
Phase generated carrier (PGC) demodulation technology has been widely used in fiber-optic interferometric sensors while nonlinearity is always accompanying with the scheme. We propose a highly stab…
High-Precision Mode Decomposition for Few-Mode Fibers Based on Multi-Task Dee…
A novel mode decomposition (MD) method based on multi-task learning (MTL) is proposed to obtain high-precision modal weights ( ρn2 ) and modal relative phases ( θn ). Due to the different physica…
Ultra-Widely Tunable Acousto-Optic Add-Drop Filter Based on Acoustically-Indu…
An ultra-widely tunable acousto-optic add-drop filter is proposed and demonstrated based on the acoustically-induced polarization conversion of cladding-etched single-mode fiber, which covers wavel…
InGaAsP/InP Geiger-Mode Avalanche Photodiode Towards Sub-kHz Dark Count Rate …
Geiger-mode InGaAsP/InP single photon avalanche photodiode (SPAD) with a low dark count rate (DCR) of 870 Hz at a photon detection efficiency (PDE) of 20% at 1064 nm is achieved for a 40 micron dia…
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