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 ...

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.

Natalie Gilbert grew up watching and learning from her dad's work solving neural network problems for AT&T's Bell Labs.

After completing a Master’s degree in biomedical engineering in Japan, Pelonomi Moiloa returned to South Africa to launch ...

Moiloa co-founded Lelapa AI in December 2022 alongside Jade Abbott. The Johannesburg-based research and product lab has since ...

Abstract: In this paper, we propose a novel method to construct low rate recursive convolutional codes. The 'overall' convolutional code has a block code and a simple recursive convolutional code as ...

Every year, the Earth shakes thousands of times. Most of those tremors go unnoticed, felt only by sensitive instruments ...

Abstract: Rapidly evolving wireless channel conditions and communication standards demand adaptable forward error correction (FEC) decoders. Existing rigid ...

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

This repository contains MATLAB implementations of core concepts from signals and systems. Each practical explores fundamental topics in signal generation, manipulation, transformation, and digital ...

This is a Python implementation of the convolution-based inverse modeling method described in: Braitenberg, C., Ebbing, J., & Götze, H.-J. (2002). Inverse modelling of elastic thickness by convolution ...