DocumentCode :
944271
Title :
Recursion formulas for growing memory digital filters
Author :
Blum, Marvin
Volume :
4
Issue :
1
fYear :
1958
fDate :
3/1/1958 12:00:00 AM
Firstpage :
24
Lastpage :
30
Abstract :
A growing memory digital filter is defined by considering the input (y_{\\nu-u}) -output (Z_m) relationship in the form Z_m = \\sum _{u=0}^m W_{um} y_{m-u}, m = 0, 1, 2, \\cdots where W_{um} is the weighting sequence of a linear time varying digital filter. Contained herein are a derivation of an optimum growing memory smoothing and prediction filter in the least squares sense for polynomial input functions, (of degree = K ) and a theorem on the class of time invariant sequence W_u , which are solutions of a difference equation of tiite order, and an application of the theorem to the synthesis of sampled correlated noise by digital processes, using recursion formulas. The recursion formulation represents a practical solution to the generation of a correlated noise sequence on line during simulation studies on digital computers.
Keywords :
Digital filters; Application software; Autocorrelation; Computational modeling; Computer simulation; Difference equations; Digital filters; Integral equations; Least squares approximation; Least squares methods; Polynomials; Smoothing methods; Taylor series;
fLanguage :
English
Journal_Title :
Information Theory, IRE Transactions on
Publisher :
ieee
ISSN :
0096-1000
Type :
jour
DOI :
10.1109/TIT.1958.1057439
Filename :
1057439
Link To Document :
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