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Cross spectral analysis of nonstationary processes

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TLDR
A new quantity called the time-frequency coherence (TFC) is defined, and it is demonstrated that its properties are analogous to those possessed by the stationary coherence function.
Abstract
Consideration is given to the generalization of stationary cross spectral analysis methods to a class of nonstationary processes, specifically, the class of semistationary finite energy processes possessing sample functions that are of finite energy almost surely. A new quantity called the time-frequency coherence (TFC) is defined, and it is demonstrated that its properties are analogous to those possessed by the stationary coherence function. The problem of estimating the TFC by using elements of L. Cohen's (1966) class of joint time-frequency representations is investigated. It is shown that the only admissible estimators are those based on the class of time-frequency smoothed periodograms. Thus, the familiar procedure of segmentation and (smoothed) short-time Fourier analysis cannot be improved upon (within the framework considered) by the use of the higher-resolution nonparametric time-frequency methods. Procedures for selection of the appropriate estimators and a possible application are suggested. >

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Citations
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Journal ArticleDOI

Photoplethysmography pulse rate variability as a surrogate measurement of heart rate variability during non-stationary conditions

TL;DR: Although some differences in the time-varying spectral indices extracted from HRV and PRV exist, mainly in the HF band associated with respiration, PRV could be used as a surrogate of HRV during non-stationary conditions, at least during the tilt table test.
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Towards limb position invariant myoelectric pattern recognition using time-dependent spectral features

TL;DR: A new feature extraction method is proposed that extracts a set of power spectrum characteristics directly from the time-domain to formA set of features invariant to limb position to reduce the impact of limb position on EMG pattern recognition.
Journal ArticleDOI

Characterization of Dynamic Interactions Between Cardiovascular Signals by Time-Frequency Coherence

TL;DR: Two methodologies based on the smoothed pseudo-Wigner-Ville distribution (SPWVD) and multitaper spectrogram (MTSP) are described, and include the automatic assessment of the significance level of coherence estimates.
Journal ArticleDOI

Evaluation of the modified S-transform for time-frequency synchrony analysis and source localisation

TL;DR: The MST led to improvements in resolution of almost twofold over the standard S-Transform in the examples presented in the article, and the advantage of using the cross-MST in the study of the connectivity between different signals using the time-frequency coherence.
Journal ArticleDOI

Bilinear time-frequency representations: new insights and properties

TL;DR: An analysis of the interference terms of Cohen-class bilinear time-frequency representations of multicomponent signals is presented, and tradeoffs between finite support, the marginals, and the interference properties are shown to be unavoidable.
References
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Book

Probability theory

Michel Loève
TL;DR: These notes cover the basic definitions of discrete probability theory, and then present some results including Bayes' rule, inclusion-exclusion formula, Chebyshev's inequality, and the weak law of large numbers.
Book

Probability Theory I

Michel Loève

Theory of communication

Dennis Gabor
Book

Functional analysis

Frigyes Riesz
Journal ArticleDOI

Improved time-frequency representation of multicomponent signals using exponential kernels

TL;DR: In this article, a time-frequency distribution of L. Cohen's (1966) class is introduced, which is called exponential distribution (ED) after its exponential kernel function, and the authors interpret the ED from the spectral density-estimation point of view.