The estimation of undersampled signals in
aliased noise: Implications for a sampling strategy
Michael B. Matthews
Monterey Bay Aquarium Research Institute
Wednesday, November 18, 1998
3:00 p.m.Pacific Forum
Aliasing is the phenomenon in which anomalous frequency components are generated in the
reconstruction of an undersampled signal. In general, insufficient resources exist to
sample the ocean in a manner sufficient to prevent aliasing. In view of this situation,
how can we effectively exploit the information content in an aliased signal?
We consider the problem of linearly estimating a stationary signal in additive noise
where significant aliasing occurs. We present a solution in the form of an aliased version
of the well-known Wiener filter, and we discuss the implications of this theory for
choosing optimal sampling strategies.
overview of the MSTI Spacecraft Program and the attitude-control system
Last updated: December 19, 2000