Results 221 to 230 of about 428,774 (260)

Principal decomposition of time-frequency distributions

IEEE Transactions on Signal Processing, 1993
The authors present a novel time-frequency analysis technique which uses principal components analysis to map any given time-frequency distribution (TFD) of a signal into a set of three 1-D principal decomposition functions. These three functions may then be considered to be 'separable' components of a time-frequency function which they refer to as the
S. Hamid Nawab, Daniel M. Beyerbach, Erkan Dorken   +2 more
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A note on "Positive time-frequency distributions"

IEEE Transactions on Acoustics, Speech, and Signal Processing, 1987
We discuss the performance of certain recently proposed positive time-frequency distribution functions with correct marginals. It turns out that for signals of the FM type, satisfactory results can only be obtained with a strongly signal dependent choice of the parameters in these distribution functions.
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Kernel decomposition of time-frequency distributions

IEEE Transactions on Signal Processing, 1994
Bilinear time-frequency distributions (TFDs) offer improved time-frequency resolution over linear representations, but suffer from difficult interpretation, higher implementation cost, and the lack of associated low-cost signal synthesis algorithms. In the paper, the authors introduce some new tools for the interpretation and quantitative comparison of
Gregory S. Cunningham, William J. Williams   +1 more
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Instantaneous frequency and time-frequency distributions

1995 International Conference on Acoustics, Speech, and Signal Processing, 2002
It is generally stated that the conditional mean frequency of a time-frequency distribution (TFD) should equal the instantaneous frequency of the signal. The commonly accepted definition of instantaneous frequency as the derivative of the phase of the analytic signal sometimes leads to curious results.
Berkant Tacer, Patrick J. Loughlin
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Signal synthesis and positive time–frequency distributions

Journal of the Franklin Institute, 2000
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Syed Ismail Shah, Amro El-Jaroudi, Patrick J. Loughlin, Luis F. Chaparro   +3 more
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Multiple window spectrogram and time-frequency distributions

Proceedings of ICASSP '94. IEEE International Conference on Acoustics, Speech and Signal Processing, 2002
We extend the spectrum estimation method of Thomson (1982, 1990) to non-stationary signals by formulating a multiple window spectrogram. The traditional spectrogram can be represented as a member of Cohen's class of time-frequency distributions (TFDs) where the smoothing kernel is the Wigner distribution of the signal temporal window.
Frazer, G, Boashash, B
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Time-Frequency Distribution of Evoked Otoacoustic Emissions

British Journal of Audiology, 1997
Otoacoustic emissions (OAE) are non-stationary signals that vary in time depending on the characteristics of the stimulus. Traditional spectral analysis using Fourier methods ignores the effects of time and can miss important temporal information. Therefore, a better form of spectral analysis requires the use of time-frequency distribution methods ...
Ozdamar, O, Zhang, JW, Kalayci, T, Ulgen, Y   +3 more
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Analysis of noise in time-frequency distributions

IEEE Signal Processing Letters, 2002
Exact expressions for the quadratic distributions' variance of signals corrupted with white stationary, white nonstationary, and colored stationary noise are derived. It has been shown that the signal-dependent part of variance is closely related to the nonnoisy distribution values.
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Decimated time-frequency distributions

Proceedings of IEEE-SP International Symposium on Time- Frequency and Time-Scale Analysis, 2002
The decimated generalized discrete time-frequency distribution (D-GDTFD) was introduced by O'Hair and Suter (see IEEE International Conference on Circuits and Systems, London, U.K., 30 May-2 June 1994). It trades bandwidth for speed of implementation and requires greatly reduced storage over the generalized discrete time-frequency distribution (GDTFD).
J.R. O'Hair, B.W. Suter
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The marginals and time-frequency distributions

SPIE Proceedings, 2003
We address the question of the importance of satisfying the marginal conditions in a time-frequency distribution and discuss in detail the fundamental and practical issues involved. We also examine the marginals of the spectrogram. The spectrogram often gives reasonable results even though both marginals can never be satisfied exactly, but sometimes it
Leon Cohen, Patrick J. Loughlin
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