[BOOK][B] Lung sounds: An advanced signal processing perspective
H Hadjileontiadis - 2022 - books.google.com
Lung sounds auscultation is often the first noninvasive resource for detection and
discrimination of respiratory pathologies available to the physician through the use of the …
discrimination of respiratory pathologies available to the physician through the use of the …
Transformation of infragravity waves during hurricane overwash
Infragravity (IG) waves are expected to contribute significantly to coastal flooding and
sediment transport during hurricane overwash, yet the dynamics of these low-frequency …
sediment transport during hurricane overwash, yet the dynamics of these low-frequency …
Bispectral analysis of nonlinear interaction, predictability and stochastic modelling with application to ENSO
CAL Pires, A Hannachi - Tellus A: Dynamic Meteorology and …, 2021 - Taylor & Francis
Non-Gaussianity and nonlinearity have been shown to be ubiquitous characteristics of El
Niño Southern Oscillation (ENSO) with implication on predictability, modelling, and …
Niño Southern Oscillation (ENSO) with implication on predictability, modelling, and …
Analysis of non-stationary mode coupling by means of wavelet-bicoherence
We present a definition of wavelet bicoherence based on wavelet polyspectra. We propose
a simple estimator for wavelet bicoherence, and discuss its statistical properties. In particular …
a simple estimator for wavelet bicoherence, and discuss its statistical properties. In particular …
Multitaper estimators of polyspectra
In theory, polyspectra can be applied to solve many important problems in signal processing
and data analysis. In practice, however, one has been discouraged by the poor statistical …
and data analysis. In practice, however, one has been discouraged by the poor statistical …
Canonical bicoherence analysis of dynamic EEG data
H He, DJ Thomson - Journal of computational neuroscience, 2010 - Springer
Bicoherence has been used in quantifying quadratic phase coupling (QPC) in
electroencephalography (EEG) signals. However, for high-dimensional EEG signals, the …
electroencephalography (EEG) signals. However, for high-dimensional EEG signals, the …
Current techniques for breath sound analysis
This chapter aims to provide some insight in the current techniques used for breath sound
analysis, in order to reveal, as accurately as possible, their underlying diagnostic value. This …
analysis, in order to reveal, as accurately as possible, their underlying diagnostic value. This …
Rolling element bearing fault recognition approach based on fuzzy clustering bispectrum estimation
WY Liu, JG Han - Shock and Vibration, 2013 - content.iospress.com
A rolling element bearing fault recognition approach is proposed in this paper. This method
combines the basic Higher-order spectrum (HOS) theory and fuzzy clustering method in data …
combines the basic Higher-order spectrum (HOS) theory and fuzzy clustering method in data …
On the estimation of nonlinear Volterra models in offshore engineering
ABSTRACT A quadratic Volterra model is used to describe the nonlinear relationship
between the sea-waves and a mini-TLP surge drift motion, and the practical problems in …
between the sea-waves and a mini-TLP surge drift motion, and the practical problems in …
Some Asymptotic Properties of a Kernel Bispectum Estimate with Different Multitapers
Assume X 1, X 2,…, XN are realizations of N observations from a real-valued discrete
parameter third-order stationary process X t, t= 0±1,±2,…, with bispectrum f XXX (λ 1, λ 2) …
parameter third-order stationary process X t, t= 0±1,±2,…, with bispectrum f XXX (λ 1, λ 2) …