Convolutional codes represent a cornerstone in modern communications, offering a method for continuously encoding data streams to mitigate errors due to interference and noise. These codes operate by ...

Abstract: This paper presents an analysis of Polar and Polarization-Adjusted Convolutional Code (PAC) decoders at the hardware level, focusing on energy use. Both the ...

Abstract: We investigate a new approach to decode convolutional and turbo codes by means of the belief propagation (BP) decoder used for low-density parity-check (LDPC) codes. In addition, we ...

A new publication from Opto-Electronic Advances, 10.29026/oea.2023.220148 discusses the direct field-to-pattern monolithic design of holographic metasurface via residual encoder-decoder convolutional ...

This repository contains Python and Shell code to train, evaluate and infer 2D and 3D convolutional encoder-decoder models for video denoising. This implementation belongs to the Master's Thesis ...

🚀 Update: If you are interested in this work, you may be interested in our latest paper and up-to-date codebase bringing together several architectures and learning paradigms for learning-driven TSP ...

A website called 'Animated AI' has been published that uses animation to explain 'Convolutional Neural Networks (CNN),' a technology widely used in the field of machine learning. The website visually ...