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Description

This tutorial report describes some important applications of the geometric modeling of signals to signal processing. The idea of stationary signals (deterministic and stochastic) is related to geometric properties. Linear prediction is shown to be an application of the Hilbert space projection theorem. Sampling is shown to be the solution to a minimum-distance optimzation problem. Finally, the lattice filter and its important properties are derived from first principles using a geometric approach.

Details

Title
Geometric interpretation of signals: applications
Creator
Messerschmitt, David G., Author
EECS Department, University of California, Publisher
Published
2006-06-27
Full Collection Name
Electrical Engineering & Computer Sciences Technical Reports
Other Identifiers
EECS-2006-92
Type
Text
Format
technical reports
Extent
16 p
Archive
The Engineering Library
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