Delivery of Polarization-Division-Multiplexing Wireless Millimeter-Wave Signa…
We proposed and established a large-capacity, long-distance wireless millimeter-wave (mm-wave) signal delivery system at W-band based on photonics-aided mm-wave generation technology, polarization-…
Real-Time Definite Sequence Modulation Based Spectral Broadening Scheme for H…
High-power narrow-linewidth continuous fiber lasers have wide applications in the fields of power synthesis, nonlinear frequency conversion, and industrial processing. The output power of kW or eve…
Effects of Hydrogen Scavenging Cable Gel on the Strength and Attenuation of O…
Optical fibers are widely used in gel-filled and Fiber-In-Metal Tube (FIMT) cables. Cable gels are believed to protect optical fibers from interactions with moisture and oxygen, while their hydroge…
Wavelength-Tunable Monolithically Integrated Chaotic Semiconductor Laser
Chaos wavelength division multiplexing is a key technology to solve incompatibility between chaos secure communication and large capacity fiber data transmission. However, the existing integrated c…
A Stochastic Composite Augmented Lagrangian Method for Reinforcement Learning
In this paper, we consider the linear programming (LP) formulation for deep reinforcement learning. The number of the constraints depends on the size of state and action spaces, which makes the pro…
Adaptive Information Hiding Method Based on Feature Extraction for Visible Li…
Visible Light Communication (VLC) is an emerging short-range optical communication technology that can alleviate spectrum congestion. However, VLC faces security problems with man-in-the-middie hij…
A Biomimetic Optical Skin for Multimodal Tactile Perception Based on Optical …
Tactile sensation is one of the critical ways humans perceive the world and is fundamental for the interaction with the surroundings. The development of haptic sensors can enable us to extend and t…
On-Demand Reconfigurable Incoherent Optical Matrix Operator for Real-Time Vid…
For emerging application fields such as autonomous driving and computing vision, which demands the real-time response of massive information, advanced image processing techniques on artificial neur…
Echo State Network Based Nonlinear Equalization for 4.6 km 135 GHz D-Band Wir…
Reservoir computing (RC) is a novel computational framework derived from recurrent neural networks (RNN). It can reduce the training complexity of RNN and is suitable for time-series learning tasks…
ControlVAE: Tuning, Analytical Properties, and Performance Analysis
This paper reviews the novel concept of a controllable variational autoencoder (ControlVAE), discusses its parameter tuning to meet application needs, derives its key analytic properties, and offer…
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