Wavelet-based interpolation method for nonuniformly sampled signals

Carolyn Ford; Delores M. Etter

doi:10.1117/12.255233

23 October 1996 Wavelet-based interpolation method for nonuniformly sampled signals

Carolyn Ford, Delores M. Etter

Proceedings Volume 2825, Wavelet Applications in Signal and Image Processing IV; (1996) https://doi.org/10.1117/12.255233
Event: SPIE's 1996 International Symposium on Optical Science, Engineering, and Instrumentation, 1996, Denver, CO, United States

Abstract

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.

Citation Download Citation

Carolyn Ford and Delores M. Etter "Wavelet-based interpolation method for nonuniformly sampled signals", Proc. SPIE 2825, Wavelet Applications in Signal and Image Processing IV, (23 October 1996); https://doi.org/10.1117/12.255233

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