Deep Learning-Based Channel Modeling for Free Space Optical Communications
Instead of conventional knowledge-driven modeling, this study introduced data-driven channel modeling methods based on deep learning (DL) in a free-space optical (FSO) communication system to achie…
High-Power Mode-Locked Fiber Laser Using Lead Sulfide Quantum Dots Saturable …
The discovery of different types of nanomaterials including the one-dimensional and two-dimensional materials used as saturable absorbers (SAs) in the applications of ultrafast lasers in recent yea…
High-Speed and High-Resolution Optical Fiber Sensor Interrogation Based on Op…
Real-time and high-speed interrogation of optical fiber sensors normally requires sophisticated detection systems. Here a novel microwave photonic approach for interrogation of high-speed and high-…
Integrated Subwavelength Grating Waveguide Bragg Gratings for Microwave Photo…
Bragg gratings (BGs) have numerous applications in microwave photonic (MWP) signal processing and MWP systems due to the ability to obtain custom-designed amplitude and phase responses. Moreover, w…
Photonics-Assisted Wideband RF Source Localization Method Based on Synthetic …
Angle of arrival (AOA) is one key parameter for passive signal source localization. However, with the increase in RF systems' instantaneous bandwidth and working frequency, it is a great challenge …
Exposure Trajectory Recovery From Motion Blur
Motion blur in dynamic scenes is an important yet challenging research topic. Recently, deep learning methods have achieved impressive performance for dynamic scene deblurring. However, the motion …
Cylindrical and Asymmetrical 3D Convolution Networks for LiDAR-Based Perception
State-of-the-art methods for driving-scene LiDAR-based perception (including point cloud semantic segmentation, panoptic segmentation and 3D detection, etc .) often project the point clouds to 2D s…
Multi-SANA: Comparing Measures of Topological Similarity for Multiple Network…
All life on Earth is related, so that some molecular interactions are common across almost all living cells, with the number of common interactions increasing as we look at more closely related spe…
Frank--Wolfe Methods with an Unbounded Feasible Region and Applications to St…
The Frank--Wolfe method is a popular algorithm for solving large-scale convex optimization problems appearing in structured statistical learning. However, the traditional Frank--Wolfe method can on…
Fending Off Critics of Platform Power with Differential Revenue Sharing : Doi…
Many digital platforms have accrued enormous power and scale, leveraging cross-side network effects between the sides they connect (e.g., producers and consumers or creators and viewers). Platforms…
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