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

R.N.J. Veldhuis; A.J.E.M. Janssen

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

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

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

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Abstract

The problem of estimating lost sample values in discrete-time signals is considered. The problem is treated as a linear minimum variance estimation problem, which, in principle, requires knowledge of the signal's autocorrelation coefficients. It is shown that, starting from this general principle, several sample restoration methods studied separately in the literature can be derived. As particular examples, the authors consider sample restoration methods for bandlimited signals, multiple sinusoids, autoregressive processes and (quasiperiodic) speech signals.

Original language	English
Title of host publication	Proceedings of the 20th Asilomar Conference on Signals, Systems & Computers, November 10-12, 1986, Pacific Grove, California
Editors	D.M. Etter
Place of Publication	New York
Publisher	Institute of Electrical and Electronics Engineers
Pages	551-558
Number of pages	8
ISBN (Print)	0-8186-0816-1
Publication status	Published - 1986
Externally published	Yes

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title = "A unified approach to the restoration of lost samples in discrete-time signals.",

abstract = "The problem of estimating lost sample values in discrete-time signals is considered. The problem is treated as a linear minimum variance estimation problem, which, in principle, requires knowledge of the signal's autocorrelation coefficients. It is shown that, starting from this general principle, several sample restoration methods studied separately in the literature can be derived. As particular examples, the authors consider sample restoration methods for bandlimited signals, multiple sinusoids, autoregressive processes and (quasiperiodic) speech signals.",

author = "R.N.J. Veldhuis and A.J.E.M. Janssen",

year = "1986",

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publisher = "Institute of Electrical and Electronics Engineers",

address = "United States",

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A unified approach to the restoration of lost samples in discrete-time signals. / Veldhuis, R.N.J.; Janssen, A.J.E.M.
Proceedings of the 20th Asilomar Conference on Signals, Systems & Computers, November 10-12, 1986, Pacific Grove, California. ed. / D.M. Etter. New York: Institute of Electrical and Electronics Engineers, 1986. p. 551-558.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

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AU - Janssen, A.J.E.M.

PY - 1986

Y1 - 1986

N2 - The problem of estimating lost sample values in discrete-time signals is considered. The problem is treated as a linear minimum variance estimation problem, which, in principle, requires knowledge of the signal's autocorrelation coefficients. It is shown that, starting from this general principle, several sample restoration methods studied separately in the literature can be derived. As particular examples, the authors consider sample restoration methods for bandlimited signals, multiple sinusoids, autoregressive processes and (quasiperiodic) speech signals.

AB - The problem of estimating lost sample values in discrete-time signals is considered. The problem is treated as a linear minimum variance estimation problem, which, in principle, requires knowledge of the signal's autocorrelation coefficients. It is shown that, starting from this general principle, several sample restoration methods studied separately in the literature can be derived. As particular examples, the authors consider sample restoration methods for bandlimited signals, multiple sinusoids, autoregressive processes and (quasiperiodic) speech signals.

UR - https://www.scopus.com/pages/publications/0023171839

M3 - Conference contribution

SN - 0-8186-0816-1

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EP - 558

BT - Proceedings of the 20th Asilomar Conference on Signals, Systems & Computers, November 10-12, 1986, Pacific Grove, California

A2 - Etter, D.M.

PB - Institute of Electrical and Electronics Engineers

CY - New York

ER -

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

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