Fraction-of- Time Density Estimation Based on Linear Interpolation of Time Series

A new estimator for the probability density function of a signal observed over a finite observation interval is proposed. The estimator linearly interpolates adjacent samples and accommodates the presence of probability masses. The analysis is carried out in the fraction-of-time (FOT) probability fr...

Full description

Saved in:
Bibliographic Details
Published in:2021 Systems of Signals Generating and Processing in the Field of on Board Communications pp. 1 - 4
Main Authors: Shevgunov, Timofey, Napolitano, Antonio
Format: Conference Proceeding
Language:English
Published: IEEE 16.03.2021
Subjects:
Analytical models
cyclostationary processes
Density measurement
Estimation
fraction-of-time probability
Interpolation
probability density estimator
Probability density function
Stochastic processes
Time series analysis
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Abstract A new estimator for the probability density function of a signal observed over a finite observation interval is proposed. The estimator linearly interpolates adjacent samples and accommodates the presence of probability masses. The analysis is carried out in the fraction-of-time (FOT) probability framework where signals are modeled as single functions of time rather than sample paths of a stochastic process. Numerical results show the better performance of the proposed estimator with respect to the kernel-based estimator. Moreover, the usefulness of analyzing signals in the FOT framework is enlightened.
AbstractList A new estimator for the probability density function of a signal observed over a finite observation interval is proposed. The estimator linearly interpolates adjacent samples and accommodates the presence of probability masses. The analysis is carried out in the fraction-of-time (FOT) probability framework where signals are modeled as single functions of time rather than sample paths of a stochastic process. Numerical results show the better performance of the proposed estimator with respect to the kernel-based estimator. Moreover, the usefulness of analyzing signals in the FOT framework is enlightened.
Author Napolitano, Antonio
Shevgunov, Timofey
Author_xml – sequence: 1
  givenname: Timofey
  surname: Shevgunov
  fullname: Shevgunov, Timofey
  email: shevgunov@gmail.com
  organization: Moscow Aviation Institute (National Research University),Moscow,Russia
– sequence: 2
  givenname: Antonio
  surname: Napolitano
  fullname: Napolitano, Antonio
  email: antonio.napolitano@uniparthenope.it
  organization: University of Napoli "Parthenope",Napoli,Italy
BookMark eNotT0tLw0AYXEEPtvoLvCzeE_f9OGpMNBAsYj2XTfItLLSbsptL_72R9DQzDDPMbNBtnCIg9ExJSSmxL21d19Xuq5GUG1sywmhpBZXW0hu0oUrJRQij79F3k9wwhykWky_wPpwAv0PMYb7gOs_h5P49_OYyjHghXYjgEm7jDOk8HVd38mvwB1KA_IDuvDtmeLziFv029b76LLrdR1u9dkWg1MyF464fiVE9c4JzEEx5BT0BKblm3koxGOIc4U5pZsUITFru9aCZYVrwkfAtelp7AwAczmnZmi6H60v-B7W1TRg
ContentType Conference Proceeding
DBID 6IE
6IL
CBEJK
RIE
RIL
DOI 10.1109/IEEECONF51389.2021.9415991
DatabaseName IEEE Electronic Library (IEL) Conference Proceedings
IEEE Xplore POP ALL
IEEE Xplore All Conference Proceedings
IEEE Electronic Library (IEL)
IEEE Proceedings Order Plans (POP All) 1998-Present
DatabaseTitleList
Database_xml – sequence: 1
  dbid: RIE
  name: IEEE Electronic Library (IEL)
  url: https://ieeexplore.ieee.org/
  sourceTypes: Publisher
DeliveryMethod fulltext_linktorsrc
EISBN 1665415487
9781665415484
EndPage 4
ExternalDocumentID 9415991
Genre orig-research
GrantInformation_xml – fundername: Ministry of Science and Higher Education of the Russian Federation
  grantid: FSFF-2020-0015
  funderid: 10.13039/501100003443
– fundername: Ministry of Science and Higher Education of the Russian Federation
  grantid: OSR-2019-CRG8-4057
  funderid: 10.13039/501100003443
GroupedDBID 6IE
6IL
CBEJK
RIE
RIL
ID FETCH-LOGICAL-i118t-a3abd086b2a433e426f6eb0e55372f954c80aa03a67294de2593f7c7282743d03
IEDL.DBID RIE
IngestDate Wed Jun 26 19:25:20 EDT 2024
IsPeerReviewed false
IsScholarly false
Language English
LinkModel DirectLink
MergedId FETCHMERGED-LOGICAL-i118t-a3abd086b2a433e426f6eb0e55372f954c80aa03a67294de2593f7c7282743d03
PageCount 4
ParticipantIDs ieee_primary_9415991
PublicationCentury 2000
PublicationDate 2021-March-16
PublicationDateYYYYMMDD 2021-03-16
PublicationDate_xml – month: 03
  year: 2021
  text: 2021-March-16
  day: 16
PublicationDecade 2020
PublicationTitle 2021 Systems of Signals Generating and Processing in the Field of on Board Communications
PublicationTitleAbbrev IEEECONF
PublicationYear 2021
Publisher IEEE
Publisher_xml – name: IEEE
Score 1.8000082
Snippet A new estimator for the probability density function of a signal observed over a finite observation interval is proposed. The estimator linearly interpolates...
SourceID ieee
SourceType Publisher
StartPage 1
SubjectTerms Analytical models
cyclostationary processes
Density measurement
Estimation
fraction-of-time probability
Interpolation
probability density estimator
Probability density function
Stochastic processes
Time series analysis
Title Fraction-of- Time Density Estimation Based on Linear Interpolation of Time Series
URI https://ieeexplore.ieee.org/document/9415991
hasFullText 1
inHoldings 1
isFullTextHit
isPrint
link http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwlV3PS8MwFA5zePCksom_ycGj2bK-NGmuzhVPdYLCbiNNE9hlla0T9t_70pSJ4EVyCYFH4aXhy5d8Xx4hD9KKxDknmbZKMaE8rjntAVkKrySURsiSt8UmVFFki4We98jjwQuDga34zI1Ct73Lr2q7C0dlY41oo4NV_UgpFb1a3TuiE67HgR1NX4s8DXdvyPySyagL-FU5pQWO_PR_nzwjwx8HHp0fsOWc9Nx6QN7yTbQhsNozGswb9Dnoz5s9neFKjSZE-oS4VFHsIM3E35hGWWEdNW-09jEwnIq57ZB85LP36QvrSiKwFTKBhhkwZYUspEyMAHAIr166krs0BZV4nQqbcWM4GImbZlE5JDfglVVIrHCrUHG4IP11vXaXhAqTaQcAEsmxgExig9QiP9MaB7i_IoOQjuVnfPVi2WXi-u_hG3ISMh7UWRN5S_rNZufuyLH9albbzX07Vd-4-5Q-
linkProvider IEEE
linkToHtml http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwlV3PS8MwGA1jCnpS2cTf5uDRbGmTJs3VuTJx1gkTdhtpm8Auq3Sd4H_vl6ZMBC-SSwh8FL40vLzkvXwI3Ymch8YYQVQuJeHSwppTlgFLoYVgmeYio02xCZmm8WKhZh10v_PCQGAjPjMD123u8osy37qjsqECtFHOqr4XcR4G3q3VviQaUDV0_Gj0miaRu30D7hcGgzbkV-2UBjqSo_999Bj1fzx4eLZDlxPUMeseeksqb0QgpSXY2Tfwo1Og1194DGvV2xDxAyBTgaEDRBN-ZOyFhaVXveHS-kB3LmY2ffSejOejCWmLIpAVcIGaaKazAnhIFmrOmAGAtcJk1EQRk6FVEc9jqjVlWsC2mRcG6A2zMpdArWCzUFB2irrrcm3OEOY6VoYxJoAecxYLaCzKgaEpBQPUnqOeS8fyw797sWwzcfH38C06mMxfpsvpU_p8iQ5d9p1WKxBXqFtXW3ON9vPPerWpbppp-wahaJeF
openUrl ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Abook&rft.genre=proceeding&rft.title=2021+Systems+of+Signals+Generating+and+Processing+in+the+Field+of+on+Board+Communications&rft.atitle=Fraction-of-+Time+Density+Estimation+Based+on+Linear+Interpolation+of+Time+Series&rft.au=Shevgunov%2C+Timofey&rft.au=Napolitano%2C+Antonio&rft.date=2021-03-16&rft.pub=IEEE&rft.spage=1&rft.epage=4&rft_id=info:doi/10.1109%2FIEEECONF51389.2021.9415991&rft.externalDocID=9415991