Abstract
In this letter, parameter estimation of a uniformly sampled signal that satisfies the lossy wave equation in Gaussian noise is investigated. By exploiting the linear prediction property of the noise-free signal, a maximum likelihood estimator for the parameters is first developed. Relaxation is then applied to yield a simple and accurate algorithm. It is shown that the estimation performance of the proposed method attains Cramér-Rao lower bound. © 2009 IEEE.
| Original language | English |
|---|---|
| Article number | 2024797 |
| Pages (from-to) | 790-793 |
| Journal | IEEE Signal Processing Letters |
| Volume | 16 |
| Issue number | 9 |
| DOIs | |
| Publication status | Published - 2009 |
Research Keywords
- Linear prediction
- Maximum likelihood estimator
- Parameter estimation
- Wave equation
Fingerprint
Dive into the research topics of 'Accurate and simple estimator for lossy wave equation'. Together they form a unique fingerprint.Cite this
- APA
- Author
- BIBTEX
- Harvard
- Standard
- RIS
- Vancouver