Adaptive restoration of unknown samples in certain time-discrete signals

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

Onderzoeksoutput: Hoofdstuk in Boek/Rapport/CongresprocedureConferentiebijdrageAcademicpeer review

84 Downloads (Pure)

Samenvatting

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.
Originele taal-2Engels
TitelProceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing (ASSP'85), March 26-29, Tampa, Florida
Plaats van productiePiscataway
UitgeverijInstitute of Electrical and Electronics Engineers
Pagina's1013-1016
StatusGepubliceerd - 1985

Vingerafdruk Duik in de onderzoeksthema's van 'Adaptive restoration of unknown samples in certain time-discrete signals'. Samen vormen ze een unieke vingerafdruk.

Citeer dit