DocumentCode :
747208
Title :
Cardinal exponential splines: part II - think analog, act digital
Author :
Unser, Michael
Author_Institution :
Biomed. Imaging Group, EPFL, Lausanne, Switzerland
Volume :
53
Issue :
4
fYear :
2005
fDate :
4/1/2005 12:00:00 AM
Firstpage :
1439
Lastpage :
1449
Abstract :
By interpreting the Green-function reproduction property of exponential splines in signal processing terms, we uncover a fundamental relation that connects the impulse responses of allpole analog filters to their discrete counterparts. The link is that the latter are the B-spline coefficients of the former (which happen to be exponential splines). Motivated by this observation, we introduce an extended family of cardinal splines-the generalized E-splines-to generalize the concept for all convolution operators with rational transfer functions. We construct the corresponding compactly supported B-spline basis functions, which are characterized by their poles and zeros, thereby establishing an interesting connection with analog filter design techniques. We investigate the properties of these new B-splines and present the corresponding signal processing calculus, which allows us to perform continuous-time operations, such as convolution, differential operators, and modulation, by simple application of the discrete version of these operators in the B-spline domain. In particular, we show how the formalism can be used to obtain exact, discrete implementations of analog filters. Finally, we apply our results to the design of hybrid signal processing systems that rely on digital filtering to compensate for the nonideal characteristics of real-world analog-to-digital (A-to-D) and D-to-A conversion systems.
Keywords :
Green´s function methods; analogue-digital conversion; convolution; filtering theory; modulation; signal representation; signal sampling; splines (mathematics); transient response; B-spline basis function; Green´s function; analog filter; analog signal processing; differential system; digital filtering; exponential spline; hybrid signal processing; impulse response; modulation; signal convolution; signal sampling; transfer function; Calculus; Convolution; Digital filters; Digital signal processing; Filtering; Poles and zeros; Signal design; Signal processing; Spline; Transfer functions; A-to-D and D-to-A conversion; Analog signal processing; differential systems; filter design; hybrid signal processing; sampling; splines;
fLanguage :
English
Journal_Title :
Signal Processing, IEEE Transactions on
Publisher :
ieee
ISSN :
1053-587X
Type :
jour
DOI :
10.1109/TSP.2005.843699
Filename :
1408194
Link To Document :
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