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...

Celý popis

Uloženo v:
Podrobná bibliografie
Vydáno v:2021 Systems of Signals Generating and Processing in the Field of on Board Communications s. 1 - 4
Hlavní autoři: Shevgunov, Timofey, Napolitano, Antonio
Médium: Konferenční příspěvek
Jazyk:angličtina
Vydáno: IEEE 16.03.2021
Témata:
On-line přístup:Získat plný text
Tagy: Přidat tag
Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!
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/eLvHCXMwlV1NSwMxEA21ePCk0orf5ODRtNnNbj6uVhcPUiuo9Fay2Qn00pV2K_jvnWyWiuDFWwiEwCThzUvemxByY5zItEwkS7SqWJYAZ9bbhEnnU2mE49CWL35_UtOpns_NrEdud14YAGjFZzAKzfYtv6rdNlyVjQ2ijQlW9T2lVPRqdXVEE27GgR1NnqdFHt7ekPmlyagb8OvnlBY4isP_TXlEhj8OPDrbYcsx6cFqQF6KdbQhsNozGswb9D7oz5sv-oAnNZoQ6R3iUkWxgTQTtzGNssI6at5o7ePAcCsGmyF5Kx5eJ4-s-xKBLZEJNMwKW1bIQsrUZkIAwquXUHLIc6FSb_LMaW4tF1Zi0pxVgORGeOUUEitMFSouTkh_Va_glNAMSgsSQUybAEpp6SrBrbHSa50h8J-RQQjH4iNWvVh0kTj_u_uCHISIB3VWIi9Jv1lv4Yrsu89muVlft0v1DZgalQo
linkProvider IEEE
linkToHtml http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwlV3PS8MwGA1jCnpS2cTf5uDRbEmTpsnVaZk464Qpu400_QK7rLJ1gv-9STsmghdvIRACXxLe95L3viB0oy0XSjJJmEoKIhhQYpxhRFoXSc0thbp88fsoyTI1nepxC91uvTAAUIvPoBea9Vt-Udp1uCrra482OljVd2IhIta4tTaVRBnV_cCPBi9ZGofXN8_9ItbbDPn1d0oNHenB_yY9RN0fDx4eb9HlCLVg0UGv6bIxIpDSERzsG_g-KNCrL_zgz2pjQ8R3HpkK7BueaPqNjBthYdmo3nDpmoHhXgxWXfSWPkwGQ7L5FIHMPReoiOEmLzwPySMjOAcPsE5CTiGOeRI5HQurqDGUG-nTZlGApzfcJTbx1MonCwXlx6i9KBdwgrCA3ID0MKZ0gKUotwWnRhvplPLhVaeoE8Ix-2jqXsw2kTj7u_sa7Q0nz6PZ6DF7Okf7IfpBq8XkBWpXyzVcol37Wc1Xy6t62b4BiZWYUQ
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