Adaptive restoration of unknown samples in certain time-discrete signals

R.N.J. Veldhuis*, A.J.E.M. Janssen, L.B. Vries

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

Abstract

Algorithms for the restoration of unknown samples at known positions embedded in a neighborhood of known samples are discussed. First, this restoration problem is treated as a (nonadaptive) linear minimum variance estimation problem. It is shown that the optimal linear minimum variance interpolator for unknown samples from an autoregressive process uses only a finite neighborhood of known samples, whereas in general this neighborhood is infinite. Second, for signals that can be modeled as autoregressive processes, an adaptive solution to the restoration problem is given.

Original languageEnglish
Title of host publicationICASSP '85
Subtitle of host publicationIEEE International Conference on Acoustics, Speech, and Signal Processing
Place of PublicationPiscataway, NJ
PublisherIEEE
Pages1013-1016
Number of pages4
Publication statusPublished - 1 Dec 1985
Externally publishedYes
EventIEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 1985 - Hyatt Regency Hotel, Tampa, United States
Duration: 26 Mar 198529 Mar 1985

Publication series

NameICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
PublisherIEEE
Volume1985
ISSN (Print)0736-7791

Conference

ConferenceIEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 1985
Abbreviated titleICASSP
CountryUnited States
CityTampa
Period26/03/8529/03/85

Fingerprint

Dive into the research topics of 'Adaptive restoration of unknown samples in certain time-discrete signals'. Together they form a unique fingerprint.

Cite this