This paper compares the signal-to-noise ratio performance of several polynomial interpolator algorithms. Signal-to-noise analysis is extended to the improvement thereof as the input signal is ideally oversampled. The algorithms considered are drop-sample, linear, third-order Lagrange, Hermite, second-order osculating, and B-spline. The analysis reveals an interesting performance trade-off between signal-to-noise ratio and passband flatness.

Authors: Wise, Duane K.; Bristow-Johnson, Robert
Affiliation: WaveMechanics, Montclair, NJ
AES Convention: 107 (September 1999) Paper Number: 5029
Publication Date: September 1, 1999 Import into BibTeX
Subject: Digital Signal Processing
Permalink: https://www.aes.org/e-lib/browse.cfm?elib=8151

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