| Paper: | SPTM-P12.5 | ||
| Session: | Estimation | ||
| Time: | Friday, May 21, 13:00 - 15:00 | ||
| Presentation: | Poster | ||
| Topic: | Signal Processing Theory and Methods: Detection, Estimation, and Class. Thry & Apps. | ||
| Title: | SELECTING THE MODELING ORDER FOR THE ESPRIT HIGH RESOLUTION METHOD: AN ALTERNATIVE APPROACH | ||
| Authors: | Roland Badeau; ENST | ||
| Bertrand David; ENST | |||
| Gaël Richard; ENST | |||
| Abstract: | High Resolution methods, such as the ESPRIT algorithm, perform an accurate representation of an harmonic signal as a sum of exponentially damped sinusoids. However, in coding applications, the signal must be represented with a minimum number of parameters. Unfortunately, it is well known that applying the ESPRIT algorithm with an under-estimated model order generates biased frequency estimates. In this paper, we propose a new method for selecting an appropriate modeling order, which minimizes this bias. This approach was applied to both synthetic and musical signals and outperformed the classical information theoretic criteria. | ||
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