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Performance of Low-Order Polynomial Interpolators in the Presence of Oversampled Input

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 Import into BibTeX
Subject:Digital Signal Processing

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E-Library Location: (CD aes15)   /pp9900/pp9909/4792.pdf

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