Minimum variance time-frequency distribution kernels.
When dealing with random processes, reduced spectrum estimate variance becomes an important property that augments the List of desirable time-frequency (t-f) distribution properties. In this correspondence, we derive the t-f kemel that satisfies the t-f constraints and provides the minimum variance...
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1995
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Minimum variance time-frequency distribution kernels. Hearon, Steven B. Amin, Moeness G. When dealing with random processes, reduced spectrum estimate variance becomes an important property that augments the List of desirable time-frequency (t-f) distribution properties. In this correspondence, we derive the t-f kemel that satisfies the t-f constraints and provides the minimum variance for the power spectrum estimate for Gaussian white noise processes. 1995 Villanova Faculty Authorship vudl:173441 IEEE TRANSACTIONS ON SIGNAL PROCESSING. VOL. 43, NO. 5, MAY 1995. en |
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Minimum variance time-frequency distribution kernels. |
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Hearon, Steven B. Amin, Moeness G. |
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When dealing with random processes, reduced spectrum
estimate variance becomes an important property that augments the List
of desirable time-frequency (t-f) distribution properties. In this correspondence,
we derive the t-f kemel that satisfies the t-f constraints and
provides the minimum variance for the power spectrum estimate for
Gaussian white noise processes. |
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1995 |
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Villanova Faculty Authorship |
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vudl:173441 |
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IEEE TRANSACTIONS ON SIGNAL PROCESSING. VOL. 43, NO. 5, MAY 1995. |
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en |
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Hearon, Steven B. Amin, Moeness G. |
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Hearon, Steven B. Amin, Moeness G. Minimum variance time-frequency distribution kernels. |
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Hearon, Steven B. Amin, Moeness G. |
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IEEE TRANSACTIONS ON SIGNAL PROCESSING. VOL. 43, NO. 5, MAY 1995. |
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Hearon, Steven B. |
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1995 |
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Minimum variance time-frequency distribution kernels. |
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When dealing with random processes, reduced spectrum
estimate variance becomes an important property that augments the List
of desirable time-frequency (t-f) distribution properties. In this correspondence,
we derive the t-f kemel that satisfies the t-f constraints and
provides the minimum variance for the power spectrum estimate for
Gaussian white noise processes. |
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Minimum variance time-frequency distribution kernels. |
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Minimum variance time-frequency distribution kernels. |
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Minimum variance time-frequency distribution kernels. |
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Minimum variance time-frequency distribution kernels. |
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Minimum variance time-frequency distribution kernels. |
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minimum variance time-frequency distribution kernels. |
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1995 |
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