## Abstract One of the important issues in climate change detection is the selection of climate models for the background noise. The background noise is generally chosen in a somewhat subjective manner. In the current study, we propose an approach of detecting climate change signal in order to miti
Separation of shoreline change signal from random noise
β Scribed by Todd L Walton Jr
- Publisher
- Elsevier Science
- Year
- 2000
- Tongue
- English
- Weight
- 170 KB
- Volume
- 27
- Category
- Article
- ISSN
- 0029-8018
No coin nor oath required. For personal study only.
β¦ Synopsis
Investigation of shoreline change signals in the presence of possible non-stationarity is attempted via Karhunen-Loeve filtering to separate the actual shoreline signal change from that of random noise. Interpretation is made of the signal and noise normalized covariance and spectra to help in delineating natural change versus man-made change patterns for a section of shoreline where a navigation channel existed over a portion of the shoreline history.
π SIMILAR VOLUMES
Design of detectors for strong mixing signals in strong mixing noise is considered, where a large degree of dependency may occur between the signal and noise. ## Under the criterion of asymptotic relative efficiency, it is shown that this design reduces to determining the solution of an integral eq