Extraction of Instantaneous Frequencies and Amplitudes in Nonstationary Time-Series Data

Extraction of Instantaneous Frequencies and Amplitudes in Nonstationary Time-Series Data

Time-series analysis is critical for a diversity of applications in science and engineering. By leveraging the strengths of modern gradient descent algorithms, the Fourier transform, multi-resolution analysis, and Bayesian spectral analysis, we propose a data-driven approach to time-frequency analys...

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Bibliographic Details
Main Authors: Daniel E. Shea, Rajiv Giridharagopal, David S. Ginger, Steven L. Brunton, J. Nathan Kutz
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
Signal analysis
parameter estimation
frequency estimation
amplitude estimation
spectral analysis
signal processing algorithms
Online Access:https://ieeexplore.ieee.org/document/9448199/

Internet

https://ieeexplore.ieee.org/document/9448199/

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