Wavelet-based interpolation method for nonuniformly sampled signals
Carolyn Ford, Delores M. Etter · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 1996
Most digital signal processing methods have an underlying assumption of regularly-spaced data samples. However, many real-world data collection techniques generate data sets which are not sampled at evenly-spaced intervals, or which may have significant data dropout problems. Therefore, a method of interpolation is needed to model the signal on an even grid of arbitrary granularity. We propose the interpolation of nonuniformly sampled fields using a least- square fit of the data to a wavelet basis in a multiresolution setting.