DocumentCode
3332071
Title
A novel Farrow Structure with reduced complexity
Author
Hunter, Matthew T. ; Mikhael, Wasfy B.
Author_Institution
DME Corp., Orlando, FL, USA
fYear
2009
fDate
2-5 Aug. 2009
Firstpage
581
Lastpage
585
Abstract
The Farrow structure (FS) has become a standard for implementing polynomial-based interpolation filters. Several improvements have been made to enhance the performance and efficiency of the original structure. New structures have evolved from these developments. These new structures include the modified Farrow structure (MFS) and the generalized Farrow structure (GFS). The MFS takes advantage of linear phase, requiring approximately half the number of multiplications of the FS. The GFS employs oversampling to simplify the polynomial-based filter. In this contribution a novel Farrow structure is derived. The new structure is termed the generalized modified Farrow structure (GMFS). Also introduced is a special case of the GMFS, namely, the dual phase modified Farrow structure (DPMFS). It is shown that the DPMFS combines the advantages of both the GFS and MFS providing greater performance at reduced implementation cost.
Keywords
computational complexity; interpolation; linear phase filters; polynomials; signal sampling; computational complexity; dual phase modified Farrow structure; generalized modified Farrow structure; linear phase filter; polynomial-based interpolation filter; signal sampling; Costs; Digital filters; Digital signal processing; Electronic mail; Finite impulse response filter; Interpolation; Linear approximation; Matched filters; Nonlinear filters; Polynomials;
fLanguage
English
Publisher
ieee
Conference_Titel
Circuits and Systems, 2009. MWSCAS '09. 52nd IEEE International Midwest Symposium on
Conference_Location
Cancun
ISSN
1548-3746
Print_ISBN
978-1-4244-4479-3
Electronic_ISBN
1548-3746
Type
conf
DOI
10.1109/MWSCAS.2009.5236027
Filename
5236027
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