Results 51 to 60 of about 20,382 (275)

High-Fidelity Compressive Heart Rate Tracking

open access: yesIEEE Access, 2023
Recently, photoplethysmography sensors in smart watches have been frequently used to monitor heart rate. Because a photoplethysmography sensor flashes light on the skin and measures the reflected light, the rate of flashing and sampling is directly ...
Seungyoon Nam   +2 more
doaj   +1 more source

Multi-channel sub-Nyquist cross-Spectral Estimation for Modal Analysis of Vibrating Structures [PDF]

open access: yes, 2015
Operational modal analysis (OMA) is a widely used construction verification and structural health monitoring technique aiming to obtain the modal properties of vibrating civil engineering structures subject to ambient dynamic loads by collecting and ...
Giaralis, A.   +2 more
core   +1 more source

Impedance Spectroscopy Analysis of Perovskite Solar Cell Stability

open access: yesEnergies, 2023
The aim of this work is to investigate the degradation of perovskite solar cells (PSCs) by means of impedance spectroscopy, a highly sensitive characterization technique used to establish the electrical response of a device in a nondestructive manner. In
Ilaria Matacena   +12 more
doaj   +1 more source

A sub-Nyquist co-prime sampling music spectral approach for natural frequency identification of white-noise excited structures [PDF]

open access: yes, 2018
Motivated by practical needs to reduce data transmission payloads in wireless sensors for vibration-based monitoring of civil engineering structures, this paper proposes a novel approach for identifying resonant frequencies of white-noise excited ...
Giaralis, A., Gkoktsi, K.
core   +1 more source

Sub-Nyquist computational ghost imaging with deep learning

open access: yesOptics Express, 2020
We propose a deep learning computational ghost imaging (CGI) scheme to achieve sub-Nyquist and high-quality image reconstruction. Unlike the second-order-correlation CGI and compressive-sensing CGI, which use lots of illumination patterns and a one-dimensional (1-D) light intensity sequence (LIS) for image reconstruction, a deep neural network (DAttNet)
Heng Wu   +8 more
openaire   +2 more sources

Impact of Groundtrack Pattern of a Single Pair Mission on the Gravity Recovery Quality

open access: yesGeosciences, 2018
For future gravity satellite missions, aliasing of high frequency geophysical signals into the lower frequencies is one of the most challenging obstacles to recovering true gravity signals, i.e., to recover the truth.
Siavash Iran-Pour   +3 more
doaj   +1 more source

Power Scalable Angle of Arrival Estimation Using Pilot Design With Orthogonal Subsequences

open access: yesIEEE Open Journal of the Communications Society, 2021
Energy efficient array processing is critical to implement feasible solutions for directional communication in a mmWave channel. MmWave channels are highly susceptible to blockage and require frequent angle of arrival (AoA) estimation.
Mahbuba S. Ullah   +2 more
doaj   +1 more source

Sub-Nyquist Sampling in Shift-Invariant Spaces

open access: yes2020 28th European Signal Processing Conference (EUSIPCO), 2021
We introduce a novel framework for acquisition of analog signals by combining compressive sensing (CS) and the shift-invariant (SI) reconstruction procedure. We reinterpret the random demodulator as a system that acquires a linear combination of the samples in the conventional SI setting with the box function as the sampling kernel.
Vlašić, Tin, Seršić, Damir
openaire   +1 more source

A Cognitive Sub-Nyquist MIMO Radar Prototype [PDF]

open access: yesIEEE Transactions on Aerospace and Electronic Systems, 2020
15 pages, 18 figures, 4 tables.
Kumar Vijay Mishra   +4 more
openaire   +2 more sources

AgileSAR: Achieving Wide-Swath Spaceborne SAR Based on Time-Space Sampling

open access: yesIEEE Access, 2019
High resolution and wide swath, which are related to imaging quality and observation efficiency, are the key specifications for spaceborne synthetic aperture radar (SAR).
Ze Yu   +3 more
doaj   +1 more source

Home - About - Disclaimer - Privacy