Further results on the minimum variance time-frequency distribution kernels

Results for the minimum variance kernel, presented by Hearon and Amin (see ibid., vol.43, p.1258, 1995), for the complex Gaussian white noise with independent real and imaginary parts remain valid for real noise and approximately valid for analytic noise. These results are extended to the real and a...

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Bibliographic Details
Published inIEEE transactions on signal processing Vol. 45; no. 6; pp. 1650 - 1655
Main Authors Stankovic, L., Ivanovic, V.
Format Journal Article
LanguageEnglish
Published IEEE 01.06.1997
Subjects
Analysis of variance
Autocorrelation
Fourier transforms
Gaussian noise
Image analysis
Kernel
Signal analysis
Time factors
Time frequency analysis
White noise
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Summary:Results for the minimum variance kernel, presented by Hearon and Amin (see ibid., vol.43, p.1258, 1995), for the complex Gaussian white noise with independent real and imaginary parts remain valid for real noise and approximately valid for analytic noise. These results are extended to the real and analytic noisy signals cases.
Bibliography:ObjectType-Article-2
SourceType-Scholarly Journals-1
ObjectType-Feature-1
content type line 23
ISSN:1053-587X
1941-0476
DOI:10.1109/78.600007