Compressed sensing of skin conductance level for IoT-based wearable sensors
In the context of physiological monitoring applications, wearable sensor platforms usually
have to sustain long-term acquisitions, necessary to assess correctly the individual health …
have to sustain long-term acquisitions, necessary to assess correctly the individual health …
On the effects of PRBS non-idealities in signal reconstruction from AICs
This article presents a sensitivity analysis of the non-idealities introduced by the pseudo-
random binary sequence (PRBS) on two modulation-based architectures of analog-to …
random binary sequence (PRBS) on two modulation-based architectures of analog-to …
Over the limits of traditional sampling: Advantages and issues of AICs for measurement instrumentation
Data acquisition systems have shown the need of wideband spectrum monitoring for many
years. This paper describes and discusses a recently proposed architecture aimed at …
years. This paper describes and discusses a recently proposed architecture aimed at …
A support for signal compression in living environments: the Analog-to-Information Converter
In smart living environments many sensors are employed to improve the quality of daily life,
collecting a variety of heterogeneous signals, characterized by different features. In order to …
collecting a variety of heterogeneous signals, characterized by different features. In order to …
An Overview on Current Technologies for Assisted Living
The paper presents an overview on the main technologies recurring in assisted living.
Specifically, the attention is focused on Compressed Sensing architectures adopted to …
Specifically, the attention is focused on Compressed Sensing architectures adopted to …
An Internet of Things-based Solution for Monitoring Freight Train Carriages
The advancement of faster and more efficient railway vehicles necessitates robust onboard
fault detection systems to enhance railway assets. Real-time condition monitoring is pivotal …
fault detection systems to enhance railway assets. Real-time condition monitoring is pivotal …
[HTML][HTML] A method for LFM signal parameter estimation based on MWC system and STFT-DPT
S Meng, C Meng, C Wang - AIP Advances, 2023 - pubs.aip.org
A method of estimating linear frequency modulation (LFM) signal parameters using
compressed sampling (CS) data of a Modulated Wideband Converter (MWC) system is …
compressed sampling (CS) data of a Modulated Wideband Converter (MWC) system is …
Estimation of LFM signal parameters using RD compressed sampling and the DFRFT dictionary
S Meng, C Meng, C Wang - EURASIP Journal on Advances in Signal …, 2023 - Springer
In this paper, a method combining random demodulator (RD) and discrete fractional Fourier
transform (DFRFT) dictionary is suggested to directly estimate the parameters of linear …
transform (DFRFT) dictionary is suggested to directly estimate the parameters of linear …
CS-based decomposition of acoustic stimuli-driven GSR peaks sensed by an IoT-enabled wearable device
Abstract The Galvanic Skin Response (GSR) signal, measured as the electrical conductance
between a pair of electrodes placed over a person's skin, consists of a tonic component …
between a pair of electrodes placed over a person's skin, consists of a tonic component …
Parameter Estimation of LFM Signal Based on RD Compressed Sampling and DFRFT Dictionary
S Meng, C Meng, C Wang - 2022 - researchsquare.com
In order to estimate the parameters of linear frequency modulation (LFM) signals directly
from compressed sampled data, a method combining random demodulator (RD) and …
from compressed sampled data, a method combining random demodulator (RD) and …