Noise is the bane of signal engineers, but deep learning models with AI can adapt to specific noises and filter them out with minimal to no human intervention required. It is a powerful feature for ...

Individuals with autism spectrum disorder show neural patterns different from those of neurotypical individuals. Here the authors show that this variation reflects a computational trade-off between ...

Abstract: The rapid expansion of the Internet of Things (IoT) has necessitated real-time signal processing capabilities in embedded systems, but traditional cloud-based models often fall short in ...

Microwave, millimeter-wave, and terahertz technology—along with 6G, IoT, radar systems, radar signal processing, algorithms, ...

EE427 Video Signal Processing ├─1.Exam │ 21-S1-Q1-v4.pdf │ 21-S1-Q2-v2.pdf │ 21-S1-Q3-v5.pdf │ 21-S1-Q4-NO.pdf │ 21-S1-Q5-NO.pdf │ 22-S1-Q1-v3.pdf ...

Abstract: Sonar signal processing plays an important role in extracting information from the unprocessed acoustic data. The processed data ensures accurate target identification. This paper represents ...

Aaronia will showcase its SPECTRAN V6 real-time spectrum analyzer solutions and a broadband antenna range at European ...

AI processor power demand - when it comes to checking power integrity engineers are faced with extra requirements.

This repository contains an implementation of EEGNet, a lightweight convolutional neural network designed for EEG (electroencephalography) signal classification. The architecture efficiently extracts ...

A team at the University of Florida has developed a new kind of computer chip that uses light with electricity to perform one ...