Nonparametric estimation of the time-varying frequency and amplitude
Vladimir Katkovnik
Statistics & Probability Letters, 1997, vol. 35, issue 4, 307-315
Abstract:
The local polynomial approximation is used to develop a nonparametric estimator of the time-varying frequency, phase and amplitude of a real-valued harmonic signal in noise. The estimator is shown to be strongly consistent and Gaussian.
Keywords: Instantaneous; frequency; Frequency; estimation; Nonparametric; regression; Sinusoidal; regression; Time-varying; parameters (search for similar items in EconPapers)
Date: 1997
References: View references in EconPapers View complete reference list from CitEc
Citations:
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0167-7152(97)00027-8
Full text for ScienceDirect subscribers only
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:eee:stapro:v:35:y:1997:i:4:p:307-315
Ordering information: This journal article can be ordered from
http://www.elsevier.com/wps/find/supportfaq.cws_home/regional
https://shop.elsevie ... _01_ooc_1&version=01
Access Statistics for this article
Statistics & Probability Letters is currently edited by Somnath Datta and Hira L. Koul
More articles in Statistics & Probability Letters from Elsevier
Bibliographic data for series maintained by Catherine Liu ().