Error Estimates from Noise Samples for Iterative Algorithm in Shift-Invariant Signal Spaces
We consider error estimates of iterative algorithm in shift-invariant signal spaces. For the classical sampling and reconstruction algorithm, error estimate from its samples corrupted by white noises are widely studied, but the error analysis of noise with time jitter and iterative noise has not bee...
Saved in:
| Main Author: | |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Wiley
2010-01-01
|
| Series: | Abstract and Applied Analysis |
| Online Access: | http://dx.doi.org/10.1155/2010/214213 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| Summary: | We consider error estimates of iterative algorithm in
shift-invariant signal spaces. For the classical sampling and reconstruction algorithm,
error estimate from its samples corrupted by white noises are widely studied,
but the error analysis of noise with time jitter and iterative noise has not been
given as much attention. In this paper, three types of error estimates are studied.
In detail, we obtain the error estimate for reconstructing a signal from its noise
samples, noise samples with time jitter, and iterative noise. |
|---|---|
| ISSN: | 1085-3375 1687-0409 |