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High-Quality Causal Interpolation for Online Unidimensional Signal Processing

T. Blu, P. Thévenaz, M. Unser

Proceedings of the Twelfth European Signal Processing Conference (EUSIPCO'04), Wien, Republic of Austria, September 6-10, 2004, pp. 1417-1420.



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.


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