DocumentCode
912606
Title
Bounds for truncation error in sampling expansions of band-limited signals
Author
Brown, John L., Jr.
Volume
15
Issue
4
fYear
1969
fDate
7/1/1969 12:00:00 AM
Firstpage
440
Lastpage
444
Abstract
For
a real-valued signal band-limited to
and represented by its Fourier integral, upper bounds are established for the magnitude of the truncation error when
is approximated at a generic time
by an appropriate selection of
terms from its Shannon sampling series expansion, the latter expansion being associated with the full band
and thus involving samples of
taken at the integer points. Results are presented for two cases: 1) the Fourier transform
is such that
is integrable on
(finite energy case), and 2)
is integrable on
. In case 1) it is shown that the truncation error magnitude is bounded above by
where
denotes the signal energy and
is independent of
and the particular band-limited signal being approximated. Correspondingly, in case 2) the error is bounded above by
where
is the maximum signal amplitude and
is independent of
and the signal. These estimates possess the same asymptotic behavior as those exhibited earlier by Yao and Thomas [2], but are derived here using only real variable methods in conjunction with the signal representation. In case 1), the estimate obtained represents a sharpening of the Yao-Thomas bound for values of
dose to unity.
a real-valued signal band-limited to
and represented by its Fourier integral, upper bounds are established for the magnitude of the truncation error when
is approximated at a generic time
by an appropriate selection of
terms from its Shannon sampling series expansion, the latter expansion being associated with the full band
and thus involving samples of
taken at the integer points. Results are presented for two cases: 1) the Fourier transform
is such that
is integrable on
(finite energy case), and 2)
is integrable on
. In case 1) it is shown that the truncation error magnitude is bounded above by
where
denotes the signal energy and
is independent of
and the particular band-limited signal being approximated. Correspondingly, in case 2) the error is bounded above by
where
is the maximum signal amplitude and
is independent of
and the signal. These estimates possess the same asymptotic behavior as those exhibited earlier by Yao and Thomas [2], but are derived here using only real variable methods in conjunction with the signal representation. In case 1), the estimate obtained represents a sharpening of the Yao-Thomas bound for values of
dose to unity.Keywords
Band-limited signals; Signal sampling/reconstruction; Finite wordlength effects; Fourier transforms; Integral equations; Sampling methods; Upper bound;
fLanguage
English
Journal_Title
Information Theory, IEEE Transactions on
Publisher
ieee
ISSN
0018-9448
Type
jour
DOI
10.1109/TIT.1969.1054335
Filename
1054335
Link To Document