DocumentCode
1679714
Title
Analysis of a sampled data system for the optimal digitizing of analog filters
Author
Braileanu, Grigore I.
Author_Institution
Gonzaga Univ., Spokane, WA, USA
fYear
2013
Firstpage
5593
Lastpage
5597
Abstract
The paper develops the analytical foundation for two IIR filter design methods that have been previously conceived as numerical algorithms for the approximation of analog filters: the extended window digitizing (EWD) method and the matched-pole (MP) frequency sampling design. The derivation of the EWD equations is based on a sampled data system representation, and provides a rigorous foundation for the MP method. Also, an original analysis of a previously proposed optimization process is done by using the equations developed for the sampled data system.
Keywords
IIR filters; matched filters; optimisation; signal sampling; EWD; IIR filter; MP frequency sampling; analog filters; extended window digitizing; matched-pole frequency sampling; optimal digitizing; optimization process; sampled data system representation; Digital filters; Equations; IIR filters; Interpolation; Optimization; Sampled data systems; IIR filters; approximation algorithms; signal reconstruction; variable fractional delay;
fLanguage
English
Publisher
ieee
Conference_Titel
Acoustics, Speech and Signal Processing (ICASSP), 2013 IEEE International Conference on
Conference_Location
Vancouver, BC
ISSN
1520-6149
Type
conf
DOI
10.1109/ICASSP.2013.6638734
Filename
6638734
Link To Document