DocumentCode :
1426565
Title :
L^2 Sampled Signal Reconstruction With Causality Constraints—Part II: Theory
Author :
Meinsma, Gjerrit ; Mirkin, Leonid
Author_Institution :
Dept. of Appl. Math., Univ. of Twente, Enschede, Netherlands
Volume :
60
Issue :
5
fYear :
2012
fDate :
5/1/2012 12:00:00 AM
Firstpage :
2273
Lastpage :
2285
Abstract :
This paper provides the theoretic foundation for the design of L2 optimal reconstructors (also known as interpolators/holds) with a prescribed degree of causality. A compact frequency-domain solution is derived that mimics known interpolation techniques for ordinary transfer functions. In parallel, an extensive state space solution is documented. It complements the frequency-domain solution in that it constructively proves the various claims, and it also makes the solution concrete. The state space solution requires the solution of one Riccati and one Lyapunov matrix equation.
Keywords :
Lyapunov matrix equations; Riccati equations; causality; frequency-domain analysis; interpolation; signal reconstruction; signal sampling; transfer functions; L2 optimal reconstructors; L2 sampled signal reconstruction; Lyapunov matrix equation; Riccati equation; causality constraints; degree of causality; frequency-domain solution; interpolation techniques; ordinary transfer functions; state space solution; Frequency domain analysis; Interpolation; Kernel; Materials; Signal generators; Stability analysis; Transfer functions; $L^{2}$ optimization; Causality constraints; consistent reconstruction; hybrid model matching; lifting;
fLanguage :
English
Journal_Title :
Signal Processing, IEEE Transactions on
Publisher :
ieee
ISSN :
1053-587X
Type :
jour
DOI :
10.1109/TSP.2012.2185229
Filename :
6135519
Link To Document :
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