Deterministic exponential modeling techniques for high spectral resolution time-frequency distributions.

Spectral resolution of t-f distributions can be improved by modeling the local autocarrelation function (LAF) by stochastic or deterministic models. This requires new sets of constraints to be imposed on the t-f kemels. One set of constraints must allow the local m o w band components in the data to be presented by damped/undamped sinusoidal components in the LAF. Another set of constraints must be considered for noisy environment to maintain the uncorrelatedness between the signal and the noise components in the LAF. This paper presents the class of kernels satisfying the first set of constraints leading to exponential deterministic modeling of the LAF. The effects of the existing desired kemel properties on the noise characteristics are also delineated.

Main Author: Amin, Moeness G.
Other Authors: Williams, William J.
Format: Villanova Faculty Authorship
Language: English
Published: 1993
Online Access: http://ezproxy.villanova.edu/login?url=https://digital.library.villanova.edu/Item/vudl:173252
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dc_source_str_mv Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing, Minneapolis, MN, April 1993.
author Amin, Moeness G.
author_facet_str_mv Amin, Moeness G.
Williams, William J.
author_or_contributor_facet_str_mv Amin, Moeness G.
Williams, William J.
author_s Amin, Moeness G.
spellingShingle Amin, Moeness G.
Deterministic exponential modeling techniques for high spectral resolution time-frequency distributions.
author-letter Amin, Moeness G.
author_sort_str Amin, Moeness G.
author2 Williams, William J.
author2Str Williams, William J.
dc_title_str Deterministic exponential modeling techniques for high spectral resolution time-frequency distributions.
title Deterministic exponential modeling techniques for high spectral resolution time-frequency distributions.
title_short Deterministic exponential modeling techniques for high spectral resolution time-frequency distributions.
title_full Deterministic exponential modeling techniques for high spectral resolution time-frequency distributions.
title_fullStr Deterministic exponential modeling techniques for high spectral resolution time-frequency distributions.
title_full_unstemmed Deterministic exponential modeling techniques for high spectral resolution time-frequency distributions.
collection_title_sort_str deterministic exponential modeling techniques for high spectral resolution time-frequency distributions.
title_sort deterministic exponential modeling techniques for high spectral resolution time-frequency distributions.
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description Spectral resolution of t-f distributions can be improved by modeling the local autocarrelation function (LAF) by stochastic or deterministic models. This requires new sets of constraints to be imposed on the t-f kemels. One set of constraints must allow the local m o w band components in the data to be presented by damped/undamped sinusoidal components in the LAF. Another set of constraints must be considered for noisy environment to maintain the uncorrelatedness between the signal and the noise components in the LAF. This paper presents the class of kernels satisfying the first set of constraints leading to exponential deterministic modeling of the LAF. The effects of the existing desired kemel properties on the noise characteristics are also delineated.
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dc.title Deterministic exponential modeling techniques for high spectral resolution time-frequency distributions.
dc.creator Amin, Moeness G.
Williams, William J.
dc.description Spectral resolution of t-f distributions can be improved by modeling the local autocarrelation function (LAF) by stochastic or deterministic models. This requires new sets of constraints to be imposed on the t-f kemels. One set of constraints must allow the local m o w band components in the data to be presented by damped/undamped sinusoidal components in the LAF. Another set of constraints must be considered for noisy environment to maintain the uncorrelatedness between the signal and the noise components in the LAF. This paper presents the class of kernels satisfying the first set of constraints leading to exponential deterministic modeling of the LAF. The effects of the existing desired kemel properties on the noise characteristics are also delineated.
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