Seismic spectral decomposition using short-time fractional Fourier transform spectrograms
Sign Up to like & getrecommendations! Published in 2021 at "Journal of Applied Geophysics"
DOI: 10.1016/j.jappgeo.2021.104400
Abstract: Abstract A time-frequency method with high resolution is introduced for seismic spectral decomposition. The classical short-time Fourier transform spectrogram has low resolution, limiting its usefulness in application such as stratigraphic visualization and gas reservoir detection… read more here.
Keywords: time; spectral decomposition; short time; seismic spectral ... See more keywords
Characterization of shallow-marine reservoirs of Lower Eocene carbonates, Pakistan: Continuous wavelet transforms-based spectral decomposition
Sign Up to like & getrecommendations! Published in 2018 at "Journal of Natural Gas Science and Engineering"
DOI: 10.1016/j.jngse.2018.06.010
Abstract: Abstract Seismic qualities expect an energetic part in the Carbonate reservoir portrayal. The precise streamlining of seismic characteristics for predicting the porosity and fractures of thin-bedded carbonate reservoir is the contest for prospect development. The… read more here.
Keywords: porosity; continuous wavelet; reservoir; spectral decomposition ... See more keywords
Spectral decomposition application for appraisal of Miocene lowstand prograding wedge play, Indus Offshore, Pakistan: Implications for petrolum exploration
Sign Up to like & getrecommendations! Published in 2021 at "Marine and Petroleum Geology"
DOI: 10.1016/j.marpetgeo.2021.105142
Abstract: Abstract Turbidite-embedded lowstand prograding wedges are hot topics in the sequence stratigraphic consortium. The lowstand prograding wedges within the lowstand system tract are mud-prone due to the stimulus of retrogradation and progradational loops, and hence,… read more here.
Keywords: lowstand prograding; spectral decomposition; prograding wedge; indus offshore ... See more keywords
Optimal input design for system identification using spectral decomposition
Sign Up to like & getrecommendations! Published in 2020 at "International Journal of Control"
DOI: 10.1080/00207179.2018.1498597
Abstract: ABSTRACT The aim of this paper is to design a band-limited optimal input with power constraints for identifying a linear multi-input multi-output system, with nominal parameter values specified. Using spectral decomposition theorem, the power spectrum… read more here.
Keywords: optimality; spectral decomposition; input; using spectral ... See more keywords
Spectral Decomposition of Missing Transverse Energy at Hadron Colliders.
Sign Up to like & getrecommendations! Published in 2017 at "Physical review letters"
DOI: 10.1103/physrevlett.119.261801
Abstract: We propose a spectral decomposition to systematically extract information of dark matter at hadron colliders. The differential cross section of events with missing transverse energy (E_{T}) can be expressed by a linear combination of basis… read more here.
Keywords: hadron colliders; missing transverse; transverse energy; spectral decomposition ... See more keywords
SpectralMAP: Approximating Data Manifold With Spectral Decomposition
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Access"
DOI: 10.1109/access.2023.3257427
Abstract: Dimensionality reduction is widely used to visualize complex high-dimensional data. This study presents a novel method for effective data visualization. Previous methods depend on local distance measurements for data manifold approximation. This leads to unreliable… read more here.
Keywords: data manifold; spectralmap approximating; approximating data; manifold spectral ... See more keywords
Memristor-Based Spectral Decomposition of Matrices and Its Applications
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Transactions on Computers"
DOI: 10.1109/tc.2022.3202746
Abstract: The recently developed memristor technology allows for extremely fast implementation of a number of important matrix operations and algorithms. Moreover, the existence of fast matrix-vector operations offers the opportunity to design new matrix algorithms that… read more here.
Keywords: decomposition matrices; matrix; running time; spectral decomposition ... See more keywords
Spectral Decomposition of the Flow and Characterization of the Sound Signals through Stenoses with Different Levels of Severity
Sign Up to like & getrecommendations! Published in 2021 at "Bioengineering"
DOI: 10.3390/bioengineering8030041
Abstract: Treatments of atherosclerosis depend on the severity of the disease at the diagnosis time. Non-invasive diagnosis techniques, capable of detecting stenosis at early stages, are essential to reduce associated costs and mortality rates. We used… read more here.
Keywords: frequency; spectral decomposition; severity; stenosis ... See more keywords
Spectral Decomposition of Mappings of Molecular Genetic Information in the System Basis of Single Nucleotide Functions
Sign Up to like & getrecommendations! Published in 2022 at "Symmetry"
DOI: 10.3390/sym14050844
Abstract: This paper presents and visualizes examples of large amounts of genetic information using a new class of cognitive computer graphics algorithms. These algorithms are related to the semiotics of perception and allow the interpretation of… read more here.
Keywords: system; genetic information; spectral decomposition; molecular genetic ... See more keywords
Spectral Decomposition of Components Weaker than Noise Intensity by Bayesian Spectroscopy
Sign Up to like & getrecommendations! Published in 2020 at "Journal of the Physical Society of Japan"
DOI: 10.7566/jpsj.89.104004
Abstract: Using Bayesian spectroscopy, we have performed model selection to extract weak spectral components from an absorption spectrum of a Cu2O thin crystal sandwiched between a pair of MgO substrates. Th... read more here.
Keywords: spectral decomposition; decomposition components; spectroscopy; weaker noise ... See more keywords