Purpose: Compressed-sensing (CS) methods can decrease the acquisition time for T 1-weighted (T 1 w) structural MRI images to 1–2 min. Rapid acquisitions reduce participant burden, reduce the risk of ...

As artificial intelligence (AI) and the Internet of Things (IoT) drive explosive data growth at the edge, compressed sensing (CS) is a key technique that reduces the hardware burden by sampling less ...

ABSTRACT: The environmental impacts caused by frequent oil spills along the Congolese coast pose a significant concern. The main objective of this work is to study the dynamics of coastal pollution ...

ABSTRACT: Magnetic Resonance Imaging (MRI) is commonly applied to clinical diagnostics owing to its high soft-tissue contrast and lack of invasiveness. However, its sensitivity to noise, attributable ...

The structural design of the microsensor and the principle of volume compressed sensing. a The resonant high pressure microsensor comprises a SOI wafer with resonators and vias, and a silicon wafer as ...

The era of massed air and missile threats is already here. Adversaries are finding and fixing friendly forces and aim to disrupt air defenses’ ability to see and make sense of the battlespace. What is ...

Abstract: Efficient wideband spectrum sensing (WSS) is essential for managing spectrum scarcity in wireless communications. However, existing compressed sensing (CS)-based WSS methods require high ...

Ayyoun is a staff writer who loves all things gaming and tech. His journey into the realm of gaming began with a PlayStation 1 but he chose PC as his platform of choice. With over 6 years of ...

There’s a strange allure to single-pixel cameras due to the simultaneous simplicity and yet fascinating features that they can offer, such as no set resolution limit. That said, the typical ...

The goal of compressed sensing is to estimate a high dimensional vector from an underdetermined system of noisy linear equations. In analogy to classical compressed sensing, here we assume a ...