Artificial intelligence has long struggled with memory retention, particularly in extended workflows or complex projects. This limitation often forces users to reintroduce context repeatedly, ...
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 ...
Abstract: In this paper, we propose three Griesmer type bounds for the minimum Hamming weight of complementary codes of linear codes. Infinite families of complementary codes meeting the three ...
Abstract: The article discusses the data transmission using convolutional codes over channels where the noise process can be described by a Markov chain with two states: a simple binary Markov channel ...
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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