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23 October 1996 Wavelet-based interpolation method for nonuniformly sampled signals
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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.
© (1996) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
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);

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