Blockchain : What Does It Mean to Industrial Electronics?: Technologies, Chal…
Imagine you want to send money to a friend overseas. Wouldn’t it be good if you didn’t have to pay hefty fees to the intermediaries, and your friend received the funds very quickly? Now imagine…
Path-Restore : Learning Network Path Selection for Image Restoration
Very deep Convolutional Neural Networks (CNNs) have greatly improved the performance on various image restoration tasks. However, this comes at a price of increasing computational burden, hence lim…
Accelerating LMS-Based Equalization With Correlated Training Sequence in Band…
As higher symbol rates are utilized in the intensity modulation and direct detection (IM/DD) scheme to meet the unrelenting growth of data traffic, overcoming the inter-symbol interference (ISI) in…
Enhancement of Diffraction Efficiency Based on the Addition Principle of Code…
For the traditional subwavelength gratings, we can code different units to construct the coded metagratings. In this paper, we propose an innovative principle of adding coded gratings, which can be…
DeFusionNET : Defocus Blur Detection via Recurrently Fusing and Refining Disc…
Albeit great success has been achieved in image defocus blur detection, there are still several unsolved challenges, e.g., interference of background clutter, scale sensitivity and missing boundary…
Concurrent Inter-ONU Communications for Next Generation Mobile Fronthauls Bas…
In PON-based mobile fronthauls, direct inter-ONU communications without passing end-user traffic to the OLT offer a promising solution for fulfilling the stringent latency and bandwidth requirement…
Highly Localized Point-by-Point Fiber Bragg Grating for Multi-Parameter Measu…
A three-parameter sensor based on a point-by-point fiber Bragg grating (PBP-FBG) is proposed. The fabricated sensor is 40 mm long. The spectrum loss at 1336.15 nm is selected to measure the surroun…
Semi-Supervised and Supervised Nonlinear Equalizers in Fiber-FSO Converged Sy…
We leverage the supervised and semi-supervised Volterra nonlinear equalizers (VNLE) to mitigate the system nonlinearity. Two methods are employed to estimate the coefficients: ordinary least square…
Efficient and Effective Regularized Incomplete Multi-View Clustering
Incomplete multi-view clustering (IMVC) optimally combines multiple pre-specified incomplete views to improve clustering performance. Among various excellent solutions, the recently proposed multip…
A Lightweight Optical Flow CNN —Revisiting Data Fidelity and Regularization
Over four decades, the majority addresses the problem of optical flow estimation using variational methods. With the advance of machine learning, some recent works have attempted to address the pro…
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