Questioning some paradigms of signal processing via concrete examples

Michel Fliess 1, 2 Mamadou Mboup 2, 3 Hugues Mounier 4 Hebertt Sira-Ramirez 5
1 LIX - Laboratoire d'informatique de l'École polytechnique [Palaiseau]
2 ALIEN - Algebra for Digital Identification and Estimation
Inria Lille - Nord Europe, Inria Saclay - Ile de France, Ecole Centrale de Lille, X - École polytechnique, CNRS - Centre National de la Recherche Scientifique : UMR8146
3 UPD5 Mathématiques Informatique - Université Paris Descartes - UFR de Mathématiques et Informatique
4 IEF - Institut d'électronique fondamentale
5 CINVESTAV - Centro de Investigacion y de Estudios Avanzados del Instituto Politécnico Nacional
Abstract : This paper was presented in November 2003 in Mexico City. It gives an overview of recent on-line and non-asymptotic estimation techniques in signal processing, which do not necessitate any precise statistical knowledge of the noises. Several concrete examples with their computer simulations are discussed.
Keywords : Differential algebra noncommutative algebra operational calculus identifiability signal processing structured perturbations demodulation chirps detection of abrupt changes
Document type :
Conference papers
Complete list of metadatas
https://hal.inria.fr/inria-00001059
Contributor : Michel Fliess <>
Submitted on : Thursday, January 26, 2006 - 10:39:57 PM
Last modification on : Monday, September 2, 2019 - 2:42:14 PM
Long-term archiving on: Saturday, April 3, 2010 - 8:03:05 PM

Files

signalg.pdf

Identifiers

  • HAL Id : inria-00001059, version 1

Collections

INRIA | CNRS | UNIV-PARIS5 | LIX | INSMI | X-LIX | X | PARISTECH | USPC | LAGIS | TDS-MACS | X-DEP-INFO

Citation

Michel Fliess, Mamadou Mboup, Hugues Mounier, Hebertt Sira-Ramirez. Questioning some paradigms of signal processing via concrete examples. Algebraic Methods in Flatness, Signal Processing and State Estimation, Nov 2003, Mexico, pp. 1-21. ⟨inria-00001059⟩

Export

BibTeX TEI DC DCterms EndNote

Share

Metrics

Record views

1685

Files downloads

678

 

 

Contact

archive-ouverte@inria.fr