Spline function smoothing and differentiation of noisy data on a rectangular grid
Conference
·
OSTI ID:6988072
- Sandia National Labs., Albuquerque, NM (USA)
- Ohio State Univ., Columbus, OH (USA)
A method is presented for smoothing and differentiating noisy data given on a rectangular grid. The method makes use of a one-dimensional smoothing algorithm to construct the solution to an associated two-dimensional problem. Smoothing parameter selection is automated using a technique that does not require prior knowledge of the amount of noise in the data. Numerical examples are provided demonstrating the application of the method. 4 refs., 8 figs., 2 tabs.
- Research Organization:
- Sandia National Labs., Albuquerque, NM (USA)
- Sponsoring Organization:
- DOE/DP
- DOE Contract Number:
- AC04-76DP00789
- OSTI ID:
- 6988072
- Report Number(s):
- SAND-89-2244C; CONF-9006124--2; ON: DE90009319
- Country of Publication:
- United States
- Language:
- English
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