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

Content Provider	IEEE Xplore Digital Library
Author	Amin, M.G. Williams, W.J.
Copyright Year	1993
Description	Author affiliation: Dept. of Electr. Eng., Villanova Univ., PA, USA (Amin, M.G.)
Abstract	A new class of time-frequency distribution kernels is introduced. Kernels in this class map the sinusoidal components in the data to auto-terms of undamped sinusoids and cross-terms of damped sinusoids in the local autocorrelation function (LAF). This property allows deterministic exponential modeling of the LAF for improved spectral resolution. Using the backward linear prediction approach, the roots of the polynomial corresponding to the auto-terms and cross-terms are discriminated by their location whether they are on or outside the unit circle. An analysis of the noise in the LAF is also presented. It is shown that the cross-correlation between any two terms in the LAF is zero. It is also shown that the autocorrelation function of the terms produced by the interaction of the signal and the noise components in the data has the same form as the noise-free LAF, but with a different kernel. These terms are primarily responsible for the frequency bias at low SNR, and their effect can only be removed by imposing a new set of constraints on the original time-frequency kernel.<>
Starting Page	253
Ending Page	256
File Size	311126
Page Count	4
File Format	PDF
ISBN	0780374029
ISSN	15206149
DOI	10.1109/ICASSP.1993.319484
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	1993-04-27
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Time frequency analysis Kernel Signal resolution Working environment noise Stochastic processes Energy resolution Signal to noise ratio Gaussian noise Computer science Amplitude modulation
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
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3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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