| Paper: | IMDSP-P10.3 | ||
| Session: | Image Analysis | ||
| Time: | Thursday, May 20, 15:30 - 17:30 | ||
| Presentation: | Poster | ||
| Topic: | Image and Multidimensional Signal Processing: Image and Video Analysis | ||
| Title: | TWO-DIMENSIONAL FREQUENCY ESTIMATION WITH MULTIPLICATIVE NOISE USING NON-CAUSAL MINIMUM VARIANCE REPRESENTATION | ||
| Authors: | Anthony Sourice; École Supérieure d' Électronique de l'Ouest | ||
| Guy Plantier; École Supérieure d' Électronique de l'Ouest | |||
| Jean-Louis Saumet; Laboratoire de Physiologie | |||
| Abstract: | In this paper, the problem of two-dimensional (2-D) frequency estimation of a complex sinusoid embedded in a white Gaussian additive noise and a multiplicative noise is addressed. For this purpose, we derive a non-causal Minimum Variance Representation, the coefficients of which are described according to the frequencies to be estimated. Therefore, estimates are given without a complete computation of the Power Spectral Density over the 2-D frequency plane, but directly from the coefficients. Accuracy and robustness of this new 2-D frequency estimator are statistically assessed by Monte Carlo simulations. The results obtained show that a good local frequency estimation can be directly achieved with the proposed model, even for signal embedded in multiplicative noise. | ||
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