DocumentCode
918138
Title
Uniform linear prediction of bandlimited processes from past samples (Corresp.)
Author
Brown, J.L., Jr.
Volume
18
Issue
5
fYear
1972
fDate
9/1/1972 12:00:00 AM
Firstpage
662
Lastpage
664
Abstract
For
either a deterministic or stochastic signal band-limited to the normalized frequency interval
, explicit coefficients
are exhibited that have the property that begin{equation} lim_{n rightarrow infty} parallel x(t) - sum_{1}^n a_{kn} x(t - kT) parallel = 0 end{equation} in an appropriate norm and for any constant intersample spacing
satisfying
; that is,
may be approximated arbitrarily well by a linear combination of past samples taken at any constant rate that exceeds twice the associated Nyquist rate. Moreover, the approximation of
is uniform in the sense that the coefficients
do not depend on the detailed structure of
but are absolute constants for any choice of
. The coefficients that are obtained provide a sharpening of a previous result by Wainstein and Zubakov where a rate in excess of three times the Nyquist rate was required.
either a deterministic or stochastic signal band-limited to the normalized frequency interval
, explicit coefficients
are exhibited that have the property that begin{equation} lim_{n rightarrow infty} parallel x(t) - sum_{1}^n a_{kn} x(t - kT) parallel = 0 end{equation} in an appropriate norm and for any constant intersample spacing
satisfying
; that is,
may be approximated arbitrarily well by a linear combination of past samples taken at any constant rate that exceeds twice the associated Nyquist rate. Moreover, the approximation of
is uniform in the sense that the coefficients
do not depend on the detailed structure of
but are absolute constants for any choice of
. The coefficients that are obtained provide a sharpening of a previous result by Wainstein and Zubakov where a rate in excess of three times the Nyquist rate was required.Keywords
Bandlimited stochastic processes; Prediction methods; Bridge circuits; Ellipsoids; Estimation theory; Frequency; Kernel; Linear systems; Parameter estimation; State estimation; Stochastic processes; Uncertain systems;
fLanguage
English
Journal_Title
Information Theory, IEEE Transactions on
Publisher
ieee
ISSN
0018-9448
Type
jour
DOI
10.1109/TIT.1972.1054877
Filename
1054877
Link To Document