High-Quality Causal Interpolation for Online Unidimensional Signal Processing

We present a procedure for designing interpolation kernels that are adapted to time signals; i.e., they are causal, even though they do not have a finite support. The considered kernels are obtained by digital IIR filtering of a finite support function that has maximum approximation order. We show how to build these kernel starting from the all-pole digital filter and we give some practical design examples.


Published in:
Proceedings of the Twelfth European Signal Processing Conference (EUSIPCO'04), Wien, Republic of Austria, 1417–1420
Year:
2004
Publisher:
EURASIP
Laboratories:




 Record created 2015-09-18, last modified 2018-03-17

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