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 x(t) either a deterministic or stochastic signal band-limited to the normalized frequency interval \\mid\\omega \\mid \\leq \\pi , explicit coefficients { a_{kn} } 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 T satisfying 0 < T < fac{1}{2} ; that is, x(t) 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 x(t) is uniform in the sense that the coefficients { a_{kn} } do not depend on the detailed structure of x(t) but are absolute constants for any choice of T . 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 :
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