DocumentCode :
2101887
Title :
Continuous-time signal processing based on polynomial approximation
Author :
Vesma, Jusi ; Hamila, Ridha ; Renfors, Markku ; Saramäki, Tapio
Author_Institution :
Telecommun. Lab., Tampere Univ. of Technol., Finland
Volume :
5
fYear :
1998
fDate :
31 May-3 Jun 1998
Firstpage :
61
Abstract :
A new approach for continuous-time processing of a discrete-time signal is proposed. This approach is based on simple modifications of the Farrow structure, which is a polynomial-based interpolation technique employing discrete-time filters for enabling arbitrary resampling of a time series. In this paper, an extension of the Farrow structure for other time-domain operations used for signal analysis other than just interpolation is presented. Filter optimization and design examples corresponding to each application using the minimax optimization criterion are provided. Also, an illustrative example of the time-domain performance of this approach is given
Keywords :
approximation theory; interpolation; minimax techniques; polynomials; signal processing; time-domain analysis; Farrow structure; continuous-time signal processing; discrete-time signal; filter optimization; minimax optimization criterion; polynomial approximation; polynomial-based interpolation technique; signal analysis; time-domain operations; Design optimization; Finite impulse response filter; Interpolation; Laboratories; Minimax techniques; Polynomials; Signal analysis; Signal processing; Signal sampling; Time domain analysis;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Circuits and Systems, 1998. ISCAS '98. Proceedings of the 1998 IEEE International Symposium on
Conference_Location :
Monterey, CA
Print_ISBN :
0-7803-4455-3
Type :
conf
DOI :
10.1109/ISCAS.1998.694408
Filename :
694408
Link To Document :
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