Name
Abstract | ||
|---|---|---|
Cramer-Rao lower bounds (CRLBs) are proposed for deterministic parameter estimation under model mismatch conditions where the assumed data model used in the design of the estimators differs from the true data model. The proposed CRLBs are defined for the family of estimators that may have a specified bias (gradient) with respect to the assumed model. The resulting CRLBs are calculated for a linear Gaussian measurement model and compared to the performance of the maximum likelihood estimator for the corresponding estimation problem. |
Year | DOI | Venue |
|---|---|---|
2015 | 10.1109/ICASSP.2015.7178719 | 2015 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH, AND SIGNAL PROCESSING (ICASSP) |
Keywords | Field | DocType |
Statistical Signal Processing, Cramer Rao Lower bound, Parameter Estimation, Model mismatch | Cramér–Rao bound,Data modeling,Mathematical optimization,Maximum likelihood,Gaussian,Estimation theory,Maximum likelihood sequence estimation,Data model,Mathematics,Estimator | Conference |
ISSN | Citations | PageRank |
1520-6149 | 3 | 0.42 |
References | Authors | |
2 | 4 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Carsten Fritsche | 1 | 157 | 14.72 |
| Umut Orguner | 2 | 9 | 1.86 |
| Emre Özkan | 3 | 94 | 10.54 |
| Fredrik Gustafsson | 4 | 2287 | 281.33 |