Communication-system designers have always had to deal with trade-offs among data reliability, efficient use of available spectrum, data throughput, and cost. Error-correction coding (ECC) is one of ...
Over the past decades, computer scientists have introduced numerous artificial intelligence (AI) systems designed to emulate the organization and functioning of networks of neurons in the brain.
FEC (forward-error-correction) techniques correct errors at the receiver end of digital communications systems. In contrast with error-detection and retransmission ...
Abstract: Polarization-adjusted convolutional (PAC) codes enhance polar codes by introducing a rate-1 convolutional pre-transformation. The performance of both polar codes and PAC codes relies on the ...
When Global Positioning System (GPS) signals fail, drones can quickly lose their sense of place, especially in tunnels, dense ...
Jin Ye, Jingran Wang, Fengchao Xiong, Jun Zhou, and Yuntao Qian, ["Deep Equilibrium Convolutional Sparse Coding for Hyperspectral Image Denoising"] TGRS 2025 Abstract: Hyperspectral images (HSIs) play ...
Repo is still work in progress. This repo contains set of scripts and notebooks for training and evaluating L-CNN, RainNet and LUPIN models for weather nowcasting. The general structure and a large ...
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