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 ...

Abstract: Convolutional code synchronization and scrambling recognition in underwater acoustic communication is commonly based on the product characteristics of dual ...

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 ...

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 ...

FEC (forward-error-correction) techniques correct errors at the receiver end of digital communications systems. In contrast with error-detection and retransmission ...

# you may not use this file except in compliance with the License. # You may obtain a copy of the License at # http://www.apache.org/licenses/LICENSE-2.0 # Unless ...

A new study presents a deep learning approach for IoT malware detection in EV charging stations, addressing key limitations ...

Recent advances in machine learning have shown that deep neural networks (DNNs) can provide powerful and flexible models of neural sensory processing. In the auditory system, standard linear-nonlinear ...

The ability to predict brain activity from words before they occur can be explained by information shared between neighbouring words, without requiring next-word prediction by the brain.

Researchers developed a holographic data storage approach that stores and retrieves information in three dimensions by combining the amplitude, phase and polarization properties of light.Xiaodi Tan, ...