Abstract
In this chapter we present the relevant mathematical background to address two well defined signal and image processing problems. Namely, the problem of structured
noise filtering and the problem of interpolation of missing data. The former is addressed by recourse to oblique projection based techniques whilst the latter, which
can be considered equivalent to impulsive noise filtering, is tackled by appropriate interpolation methods.
| Original language | English |
|---|---|
| Title of host publication | New Signal Processing Research |
| Editors | Takumi Maeda |
| Publisher | Nova science |
| Pages | 127-158 |
| Number of pages | 32 |
| ISBN (Print) | 978-1-60456-479-2 |
| Publication status | Published - 1 Oct 2008 |
Bibliographical note
© 2008 Nova Science PublishersKeywords
- structured noise filtering
- interpolation of missing data
- oblique projection based techniques
- impulsive noise filtering
- interpolation methods.