pdf - Madagascar
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12<br />
(c) The estimate for m is then ̂m = ̂x + m 0 .<br />
Implement several realizations of missing data interpolation using several realizations<br />
of m 0 . You can do it by modifying either SConstruct or interpolate.c.<br />
5. Include your results in the paper.<br />
6. EXTRA CREDIT for implementing missing data interpolation using the FFT<br />
method for model covariance.<br />
COMPLETING THE ASSIGNMENT<br />
1. Change directory to hw5.<br />
2. Edit the file paper.tex in your favorite editor and change the first line to have<br />
your name instead of Bayes’s.<br />
3. Run<br />
sftour scons lock<br />
to update all figures.<br />
4. Run<br />
sftour scons -c<br />
to remove intermediate files.<br />
5. Run<br />
scons <strong>pdf</strong><br />
to create the final document.<br />
6. Submit your result (file paper.<strong>pdf</strong>) on paper or by e-mail.<br />
REFERENCES<br />
Claerbout, J., 2008, Image estimation by example: Environmental soundings image<br />
enhancement: Stanford Exploration Project.<br />
Claerbout, J., and M. Brown, 1999, Two-dimensional textures and prediction-error<br />
filters: 61st Mtg., Eur. Assn. Geosci. Eng., Session:1009.<br />
Marcotte, D., 1996, Fast variogram computation with FFT: Computers and Geosciences,<br />
22, 11751186.