NDLI: Statistical trade-offs in modern time-frequency kernel design

Content Provider	IEEE Xplore Digital Library
Author	Hearon, S. Amin, M.
Copyright Year	1991
Description	Author affiliation: Dept. of Electr. Eng., Villanova Univ., PA, USA (Hearon, S.; Amin, M.)
Abstract	In random processes, reduced spectrum estimate variance becomes an important property which augments the list of desired time-frequency properties of modern distributions. The degrees of freedom left in the two-dimensional kernel after satisfying the support, the marginal, and the instantaneous frequency requirements are used to yield a kernel of minimum variance. The average variance over the Nyquist interval of the spectrum estimate of a white noise process is used as the measure to be minimized. It is proved that the Born-Jordan kernel has the lowest possible average variance. It is also shown that the cone-shape of the modern time-frequency kernels is primarily responsible for their high variance. A comparison of the statistical performance of different shapes of kernels is provided.
Starting Page	359
Ending Page	363
File Size	261890
Page Count	5
File Format	PDF
ISBN	0818624701
ISSN	10586393
DOI	10.1109/ACSSC.1991.186473
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	1991-11-04
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Time frequency analysis Kernel Frequency estimation White noise Autocorrelation Random processes Shape Equations Noise measurement Modems
Content Type	Text
Resource Type	Article
Subject	Signal Processing Computer Networks and Communications

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
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
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

Some considerations for statistical characterization of nonstationary random processes

Spectral decomposition of time-frequency distribution kernels

Estimation of cyclic polyspectra

A correlation approach to time-frequency representations

Uncertainty and concentration inequalities for nonstationary random processes and time-frequency energy spectra

Covariant estimators of time-frequency descriptors for nonstationary random processes

Sonar and Radar Wange-Doppler Processing Using a Cone-Shaped Kernel Time-Frequency Representation

Quantization-based estimation

Reconstruction Convergence of an Impulse-doublet Sampled Random Processes

Statistical trade-offs in modern time-frequency kernel design

Similar Documents

Some considerations for statistical characterization of nonstationary random processes

Spectral decomposition of time-frequency distribution kernels

Estimation of cyclic polyspectra

A correlation approach to time-frequency representations

Uncertainty and concentration inequalities for nonstationary random processes and time-frequency energy spectra

Covariant estimators of time-frequency descriptors for nonstationary random processes

Sonar and Radar Wange-Doppler Processing Using a Cone-Shaped Kernel Time-Frequency Representation

Quantization-based estimation

Reconstruction Convergence of an Impulse-doublet Sampled Random Processes

Statistical trade-offs in modern time-frequency kernel design