DocumentCode :
785604
Title :
Efficient computation of discrete polynomial transforms
Author :
Aburdene, Maurice F. ; Xie, Jin ; Kozick, Richard J.
Author_Institution :
Electr. Eng. Dept., Bucknell Univ., Lewisburg, PA, USA
Volume :
10
Issue :
10
fYear :
2003
Firstpage :
285
Lastpage :
288
Abstract :
This letter presents a new recursive method for computing discrete polynomial transforms. The method is shown for forward and inverse transforms of the Hermite, binomial, and Laguerre transforms. The recursive flow diagrams require only 2N additions, 2(N+1) memory units, and N+1 multipliers for the N+1-point Hermite and binomial transforms. The recursive flow diagram for the N+1-point Laguerre transform requires 2N additions, 2(N+1) memory units, and 2(N+1) multipliers. The transform computation time for all of these transforms is O(N).
Keywords :
discrete transforms; recursive estimation; signal processing; Hermite transforms; Laguerre transforms; additions; binomial transforms; discrete polynomial transforms; flow diagrams; forward transforms; inverse transforms; memory units; multipliers; recursive method; Communication system control; Discrete transforms; Hardware; Performance analysis; Polynomials; Process control; Signal processing algorithms;
fLanguage :
English
Journal_Title :
Signal Processing Letters, IEEE
Publisher :
ieee
ISSN :
1070-9908
Type :
jour
DOI :
10.1109/LSP.2003.817177
Filename :
1232721
Link To Document :
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