A unified approach to the restoration of lost samples in discrete-time signals

R.N.J. Veldhuis*, A.J.E.M. Janssen

*Corresponding author for this work

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

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Abstract

We consider the problem of estimating lost sample values in discrete-time signals.  The problem is treated as a linear minimum variance estimation problem, which, in principle, requires knowledge of the signal's autocorrelation coefficients. We show that, starting from this general principle, several sample restoration methods studied separately in the literature, can be derived. As particular examples we consider sample restoration methods for band-limited signals, multiple sinusoids, autoregressive processes and (quasi periodic) speech signals. The restoration method for multiple sinusoids is new, and has not, to our knowledge, been published before.

Original languageEnglish
Title of host publicationConference record : papers presented November 10-12, 1986, Pacific Grove, California
Subtitle of host publicationTwentieth Asilomar Conference on Signals, Systems & Computers
EditorsDelores M. Etter
PublisherIEEE
Pages551-558
Number of pages8
ISBN (Print)0818608161, 0818688165
Publication statusPublished - 1 Jan 1987
Externally publishedYes
Event20th Asilomar Conference on Signals, Systems & Computers 1986 - Pacific Grove, United States
Duration: 10 Nov 198612 Nov 1986
Conference number: 20

Conference

Conference20th Asilomar Conference on Signals, Systems & Computers 1986
CountryUnited States
CityPacific Grove
Period10/11/8612/11/86

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Restoration
Autocorrelation

Cite this

Veldhuis, R. N. J., & Janssen, A. J. E. M. (1987). A unified approach to the restoration of lost samples in discrete-time signals. In D. M. Etter (Ed.), Conference record : papers presented November 10-12, 1986, Pacific Grove, California : Twentieth Asilomar Conference on Signals, Systems & Computers (pp. 551-558). IEEE.
Veldhuis, R.N.J. ; Janssen, A.J.E.M. / A unified approach to the restoration of lost samples in discrete-time signals. Conference record : papers presented November 10-12, 1986, Pacific Grove, California : Twentieth Asilomar Conference on Signals, Systems & Computers. editor / Delores M. Etter. IEEE, 1987. pp. 551-558
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abstract = "We consider the problem of estimating lost sample values in discrete-time signals.  The problem is treated as a linear minimum variance estimation problem, which, in principle, requires knowledge of the signal's autocorrelation coefficients. We show that, starting from this general principle, several sample restoration methods studied separately in the literature, can be derived. As particular examples we consider sample restoration methods for band-limited signals, multiple sinusoids, autoregressive processes and (quasi periodic) speech signals. The restoration method for multiple sinusoids is new, and has not, to our knowledge, been published before.",
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Veldhuis, RNJ & Janssen, AJEM 1987, A unified approach to the restoration of lost samples in discrete-time signals. in DM Etter (ed.), Conference record : papers presented November 10-12, 1986, Pacific Grove, California : Twentieth Asilomar Conference on Signals, Systems & Computers. IEEE, pp. 551-558, 20th Asilomar Conference on Signals, Systems & Computers 1986, Pacific Grove, United States, 10/11/86.

A unified approach to the restoration of lost samples in discrete-time signals. / Veldhuis, R.N.J.; Janssen, A.J.E.M.

Conference record : papers presented November 10-12, 1986, Pacific Grove, California : Twentieth Asilomar Conference on Signals, Systems & Computers. ed. / Delores M. Etter. IEEE, 1987. p. 551-558.

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

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N2 - We consider the problem of estimating lost sample values in discrete-time signals.  The problem is treated as a linear minimum variance estimation problem, which, in principle, requires knowledge of the signal's autocorrelation coefficients. We show that, starting from this general principle, several sample restoration methods studied separately in the literature, can be derived. As particular examples we consider sample restoration methods for band-limited signals, multiple sinusoids, autoregressive processes and (quasi periodic) speech signals. The restoration method for multiple sinusoids is new, and has not, to our knowledge, been published before.

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Veldhuis RNJ, Janssen AJEM. A unified approach to the restoration of lost samples in discrete-time signals. In Etter DM, editor, Conference record : papers presented November 10-12, 1986, Pacific Grove, California : Twentieth Asilomar Conference on Signals, Systems & Computers. IEEE. 1987. p. 551-558