Abstract: One-bit Compressed Sensing (CS) is a novel approach in signal processing that focuses on the recovery of sparse signals from highly quantized measurements, specifically retaining only the ...
Abstract: We propose a novel compressed sensing (CS) method to improve the depth reconstruction accuracy and multitarget separation capability of indirect time-of-flight (iToF) systems. The method ...
Passive sensing via wearable devices and smartphones, combined with machine learning (ML), enables objective, continuous, and noninvasive mental health monitoring. Objective: This study aimed to ...