Algorithms for time-frequency imaging and analysis: introduction to mixed-model spectral decomposition

Pant, Animesh; Ghosal, Dibakar; Puryear, Charles; Verma, Shashank Narayan

doi:10.1007/s11600-023-01108-2

Artykuł - szczegóły

Tytuł artykułu

Algorithms for time-frequency imaging and analysis: introduction to mixed-model spectral decomposition

Autorzy

Pant Animesh , Ghosal Dibakar , Puryear Charles , Verma Shashank Narayan

Wybrane pełne teksty z tego czasopisma

https://www.springer.com/journal/11600

Identyfikatory

DOI

10.1007/s11600-023-01108-2

Warianty tytułu

Języki publikacji

Abstrakty

Time-frequency algorithms help discern and filter hidden information from signals but their growing abundance induces non-uniqueness thus, complicating selection. Classification of these algorithms into approaches can bring simplification and structure to improve our selection and estimates. This study focuses on algorithms we classify here as fixed windowbased projection approach, wavelet-based projection approach, greedy-based approach and combinational-based approach while omitting heuristic-based approach and numerical-autoregressive-based approach classes. It describes the basic theory of transforms under the classes and compares them for effective stability, effective localization and resolution capabilities of time-frequency spectra for wavelet estimation and interfering beds with results demonstrating subtle advantages for each depending on nature of signal and model behind the algorithm. The combinational-based mixed-model approach wavelet-assisted constrained least squares spectral analysis concatenates a wavelet-based approach with a fixed windowbased approach and effectively functions to reassign complex amplitude coefficients from their apparent positions to their true positions. A comparison of the results suggests that it demonstrates good scope as an effective alternative general tool for hydrocarbon detection and resolution of thin beds.

Słowa kluczowe

transforms time-frequency analysis time-series analysis spectral analysis spectral decomposition algorithms wavelet estimation

transformacje analiza czasowo-częstotliwościowa analiza szeregów czasowych analiza widmowa algorytmy rozkładu widmowego estymacja falkowa

Wydawca

Instytut Geofizyki PAN
Springer

Czasopismo

Acta Geophysica

Rocznik

2024

Tom

Vol. 72, no. 2

Strony

637--653

Opis fizyczny

Bibliogr. 42 poz.

Twórcy

autor

Pant Animesh

Department of Earth Sciences, Indian Institute of Technology Kanpur, Kanpur, Uttar Pradesh, India

autor

Ghosal Dibakar

dghosal@iitk.ac.in

Department of Earth Sciences, Indian Institute of Technology Kanpur, Kanpur, Uttar Pradesh, India

https://orcid.org/0000-0002-5264-1331

autor

Puryear Charles

Spectral Geosolutions, Houston, TX, USA

autor

Verma Shashank Narayan

Department of Earth Sciences, Indian Institute of Technology Kanpur, Kanpur, Uttar Pradesh, India

Bibliografia

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Bibliografia

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