An iterative approach for decomposition of multi-component non-stationary signals based on eigenvalue decomposition of the Hankel matrix

DOI10.1016/j.jfranklin.2015.05.038zbMath1395.94122OpenAlexW596834314MaRDI QIDQ1660647

Pooja Jain, Ram Bilas Pachori

Publication date: 16 August 2018

Published in: Journal of the Franklin Institute (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.jfranklin.2015.05.038

Mathematics Subject Classification ID

Time series, auto-correlation, regression, etc. in statistics (GARCH) (62M10) Inference from stochastic processes and spectral analysis (62M15) Pattern recognition, speech recognition (68T10) Signal theory (characterization, reconstruction, filtering, etc.) (94A12) Modulation and demodulation in information and communication theory (94A14)

Related Items (8)

Spectral properties of anti-heptadiagonal persymmetric Hankel matrices ⋮ A robust method for coherent and non-coherent source number detection using a special Hankel-based covariance matrix ⋮ Self-tuning variational mode decomposition ⋮ The Fourier decomposition method for nonlinear and non-stationary time series analysis ⋮ Breaking the limits: redefining the instantaneous frequency ⋮ Eigenvalue decomposition of Hankel matrix-based time-frequency representation for complex signals ⋮ Improved eigenvalue decomposition-based approach for reducing cross-terms in Wigner-Ville distribution ⋮ Correlators of Polynomial Processes

Uses Software

• CaterpillarSSA

Cites Work

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• A signal subspace approach for speech modelling and classification
• Speech pitch determination based on Hilbert-Huang transform
• Complex FM signal model for non-stationary signals
• Marginal energy density over the low frequency range as a feature for voiced/non-voiced detection in noisy speech signals
• The empirical mode decomposition and the Hilbert spectrum for nonlinear and non-stationary time series analysis
• Energy separation in signal modulations with application to speech analysis
• One or Two Frequencies? The Empirical Mode Decomposition Answers
• Signal Decomposition by Using the S-Method With Application to the Analysis of HF Radar Signals in Sea-Clutter

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