Spectral analysis of nonuniformly sampled data–a review

P Babu, P Stoica - Digital Signal Processing, 2010 - Elsevier
In this paper, we present a comprehensive review of methods for spectral analysis of
nonuniformly sampled data. For a given finite set of nonuniformly sampled data, a …

Modeling the random orientation of mobile devices: Measurement, analysis and LiFi use case

MD Soltani, AA Purwita, Z Zeng… - IEEE Transactions on …, 2018 - ieeexplore.ieee.org
Light-fidelity (LiFi) is a networked optical wireless communication (OWC) solution for high-
speed indoor connectivity for fixed and mobile optical communications. Unlike conventional …

Map** crop phenology using NDVI time-series derived from HJ-1 A/B data

Z Pan, J Huang, Q Zhou, L Wang, Y Cheng… - International Journal of …, 2015 - Elsevier
With the availability of high frequent satellite data, crop phenology could be accurately
mapped using time-series remote sensing data. Vegetation index time-series data derived …

Post-hurricane forest damage assessment using satellite remote sensing

W Wang, JJ Qu, X Hao, Y Liu, JA Stanturf - Agricultural and forest …, 2010 - Elsevier
This study developed a rapid assessment algorithm for post-hurricane forest damage
estimation using moderate resolution imaging spectroradiometer (MODIS) measurements …

Ultra-high resolution pollen record from the northern Andes reveals rapid shifts in montane climates within the last two glacial cycles

MHM Groot, RG Bogotá, LJ Lourens… - Climate of the …, 2011 - cp.copernicus.org
Here we developed a composite pollen-based record of altitudinal vegetation changes from
Lake Fúquene (5° N) in Colombia at 2540 m elevation. We quantitatively calibrated Arboreal …

Terminal orientation in OFDM-based LiFi systems

AA Purwita, MD Soltani, M Safari… - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
Light-fidelity (LiFi) is a wireless communication technology that employs both infrared and
visible light spectra to support multiuser access and user mobility. Considering the small …

Compressive sensing based stochastic process power spectrum estimation subject to missing data

L Comerford, IA Kougioumtzoglou, M Beer - Probabilistic engineering …, 2016 - Elsevier
A compressive sensing (CS) based approach for stationary and non-stationary stochastic
process power spectrum estimation subject to missing data is developed. Stochastic process …

Interaction of air pressure and groundwater as main cause of sub‐daily relative seismic velocity changes

R Kramer, Y Lu, G Bokelmann - Geophysical Research Letters, 2023 - Wiley Online Library
Our study investigates variations of seismic velocity that occur over short time scales of
hours. We use coda wave interferometry to inspect 5 months of continuous data from a …

Effect of data gaps: comparison of different spectral analysis methods

C Munteanu, C Negrea, M Echim… - Annales …, 2016 - angeo.copernicus.org
In this paper we investigate quantitatively the effect of data gaps for four methods of
estimating the amplitude spectrum of a time series: fast Fourier transform (FFT), discrete …

An artificial neural network approach for stochastic process power spectrum estimation subject to missing data

L Comerford, IA Kougioumtzoglou, M Beer - Structural Safety, 2015 - Elsevier
An artificial neural network (ANN) based approach is developed for estimating the power
spectrum of stochastic processes subject to missing/limited data. In this regard, an …