DocumentCode :
1506441
Title :
A frequency domain weighting function approach to extrapolation
Author :
Thompson, Phillip J. ; Manry, Michael T.
Author_Institution :
Dept. of Electr. Eng., Texas Univ., Arlington, TX, USA
Volume :
38
Issue :
8
fYear :
1990
fDate :
8/1/1990 12:00:00 AM
Firstpage :
1395
Lastpage :
1402
Abstract :
A new extrapolation algorithm has been developed which is linear, noise tolerant, and computationally efficient. A bandwidth measure is defined in terms of a general frequency weighting function, and the extrapolated signal is calculated as the signal that minimizes this measure. The minimization involves the solution of a Toeplitz set of linear equations. Several properties of this technique are developed that are useful in gaining insight into the form of a solution. The algorithm is more efficient than any of its predecessors, since the coefficients of the equations have closed forms. A second advantage of the algorithm is that it is not restricted to band-limited signals. A third advantage of this technique is that it is linear
Keywords :
extrapolation; frequency-domain analysis; signal processing; Toeplitz set; bandwidth measure; coefficients; extrapolated signal; extrapolation algorithm; frequency domain weighting function; linear algorithm; linear equations; minimization; noise tolerant algorithm; signal processing; Autocorrelation; Bandwidth; Electric breakdown; Equations; Extrapolation; Frequency domain analysis; Hardware; Sampled data systems; Signal processing; Signal processing algorithms;
fLanguage :
English
Journal_Title :
Acoustics, Speech and Signal Processing, IEEE Transactions on
Publisher :
ieee
ISSN :
0096-3518
Type :
jour
DOI :
10.1109/29.57574
Filename :
57574
Link To Document :
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