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Treatment
of discrete sampled data by linear optimum Wiener filtering,
minimum error energy deconvolution, autocorrelation and spectral
density estimation, discrete Fourier transforms and frequency
domain filtering and the Fast Fourier Transform algorithm. (Same
as SC/EATS 4020 3.0 and SC/PHYS 4060 3.0.)
[Ed. note: In the absence of any information from Smylie,
we provide no supplementary course description here.]
Prerequisite:SC/AS/COSC 1540 3.0 or equivalent FORTRAN
programming experience; AS/SC/AK/MATH 2270 3.0;
AS/SC/MATH 2015 3.0 or AS/SC/AK/MATH 3010 3.0.
Exclusions:SC/AS/COSC 4242 3.0,
SC/EATS 4020 3.0, AS/SC/MATH 4130B 3.0,
AS/SC/MATH 4930C 3.0, SC/PHYS 4060 3.0.
Coordinator: D. Smylie
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