Selecting the modeling order for the ESPRIT high resolution method: an alternative approach

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.
Complete list of metadatas

Cited literature [11 references]  Display  Hide  Download

https://hal.inria.fr/hal-00945275
Contributor : Roland Badeau <>
Submitted on : Monday, March 24, 2014 - 3:54:35 PM
Last modification on : Thursday, December 19, 2019 - 1:30:27 AM
Long-term archiving on: Tuesday, June 24, 2014 - 10:46:13 AM

File

icassp-04.pdf
Files produced by the author(s)

Identifiers

  • HAL Id : hal-00945275, version 1

Collections

Citation

Roland Badeau, Bertrand David, Gaël Richard. Selecting the modeling order for the ESPRIT high resolution method: an alternative approach. Proc. of IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2004, Montréal, Québec, Canada. pp.1025--1028. ⟨hal-00945275⟩

Share

Metrics

Record views

135

Files downloads

669