THIERRY BLUThévenaz, PhilippePhilippeThévenazUnser, MichaelMichaelUnser2024-03-072024-03-072015-04-03978320000165722195491https://scholars.lib.ntu.edu.tw/handle/123456789/640503We 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.High-quality causal interpolation for online unidimensional signal processingconference paper2-s2.0-84979877994https://api.elsevier.com/content/abstract/scopus_id/84979877994