RECONSTRUCTION OF BANDLIMITED SIGNALS FROM THEIR UNEVENLY-SPACED SAMPLED DATA.

M. Soumekh

RECONSTRUCTION OF BANDLIMITED SIGNALS FROM THEIR UNEVENLY-SPACED SAMPLED DATA.

M. Soumekh

Department of Electrical Engineering

Research output: Contribution to journal › Conference article › peer-review

Abstract

The problem of reconstructing a bandlimited signal from a finite number of its unevenly-spaced sampled data is addressed. The main results for a Fourier analysis of the available data done in a framework similar to Shannon's sampling theorem for evenly-spaced data are presented. The results are then utilized to determine the required constraints and algorithms for accurate reconstruction.

Original language	English
Pages (from-to)	1221-1224
Number of pages	4
Journal	ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
State	Published - 1987

Cite this

@article{ebc200f839bc4ebd928fe15fd91b3ed7,

title = "RECONSTRUCTION OF BANDLIMITED SIGNALS FROM THEIR UNEVENLY-SPACED SAMPLED DATA.",

abstract = "The problem of reconstructing a bandlimited signal from a finite number of its unevenly-spaced sampled data is addressed. The main results for a Fourier analysis of the available data done in a framework similar to Shannon's sampling theorem for evenly-spaced data are presented. The results are then utilized to determine the required constraints and algorithms for accurate reconstruction.",

author = "M. Soumekh",

year = "1987",

language = "English",

pages = "1221--1224",

journal = "ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings",

issn = "0736-7791",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

}

TY - JOUR

T1 - RECONSTRUCTION OF BANDLIMITED SIGNALS FROM THEIR UNEVENLY-SPACED SAMPLED DATA.

AU - Soumekh, M.

PY - 1987

Y1 - 1987

N2 - The problem of reconstructing a bandlimited signal from a finite number of its unevenly-spaced sampled data is addressed. The main results for a Fourier analysis of the available data done in a framework similar to Shannon's sampling theorem for evenly-spaced data are presented. The results are then utilized to determine the required constraints and algorithms for accurate reconstruction.

AB - The problem of reconstructing a bandlimited signal from a finite number of its unevenly-spaced sampled data is addressed. The main results for a Fourier analysis of the available data done in a framework similar to Shannon's sampling theorem for evenly-spaced data are presented. The results are then utilized to determine the required constraints and algorithms for accurate reconstruction.

UR - https://www.scopus.com/pages/publications/0023211278

M3 - Conference article

AN - SCOPUS:0023211278

SN - 0736-7791

SP - 1221

EP - 1224

JO - ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings

JF - ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings

ER -

RECONSTRUCTION OF BANDLIMITED SIGNALS FROM THEIR UNEVENLY-SPACED SAMPLED DATA.

Abstract

Other files and links

Fingerprint

Cite this