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 :
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