Sciweavers

Share
ISBI
2007
IEEE

Regularized Interpolation for Noisy Data

9 years 4 months ago
Regularized Interpolation for Noisy Data
Interpolation is a vital tool in biomedical signal processing. Although there exists a substantial literature dedicated to noise-free conditions, much less is known in the presence of noise. Here, we document the breakdown of standard interpolation for noisy data and study the performance improvement due to regularized interpolation. In particular, we numerically investigate the Tikhonov (quadratic) regularization. On top of that, we explore non-quadratic regularization and show that this yields further improvements. We derive a novel bounded regularization approach to determine the optimal solution. We justify our claims with experimental results.
Sathish Ramani, Philippe Thévenaz, Michael
Added 03 Jun 2010
Updated 03 Jun 2010
Type Conference
Year 2007
Where ISBI
Authors Sathish Ramani, Philippe Thévenaz, Michael Unser
Comments (0)
books