1887

Abstract

P017 Reversible Transforms for One-Dimensional Data Processing W.A. Burnett* (The University of Texas at Austin) & R.J. Ferguson (The University of Texas at Austin) SUMMARY An alternative approach to interpolation based data processing methods is presented here. Any processing step that can be viewed as nonstationary shift can be applied as an integral transform under the theory of nonstationary filtering (Margrave 1998). Using the advantages of nonstationary filtering theory in the mixed-domain the general form of forward and inverse integral transforms is developed for onedimensional processing steps. This type of transform is exactly reversible and can be implemented with matrix-vector

Loading

Article metrics loading...

/content/papers/10.3997/2214-4609.201401737
2007-06-11
2020-04-08
Loading full text...

Full text loading...

http://instance.metastore.ingenta.com/content/papers/10.3997/2214-4609.201401737
Loading
This is a required field
Please enter a valid email address
Approval was a Success
Invalid data
An Error Occurred
Approval was partially successful, following selected items could not be processed due to error