Adaptive Nonlinear System Identification : The Volterra and Wiener Model Approaches
Adaptive Nonlinear System Identification: The Volterra and Wiener Model Approaches introduces engineers and researchers to the field of nonlinear adaptive system identification. The book includes recent research results in the area of adaptive nonlinear system identification and presents simple, con...
Tallennettuna:
| Päätekijä: | |
|---|---|
| Aineistotyyppi: | Livre numérique |
| Kieli: | Anglais |
| Julkaistu: |
New York, NY :
Springer US
2007.
Cham : Springer Nature |
| Sarja: | Signals and Communication Technology
|
| Linkit: | Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
| Huomautus: |
Archives Springer e-books (Licence nationale) Archives Springer e-books (Licence nationale) |
| Autres localisations: | Voir dans le Sudoc |
| Edition sous un autre format: | • Adaptive Nonlinear System Identification, Texte imprimé, 9781441938831 • Adaptive Nonlinear System Identification, Texte imprimé, 9780387508016 • Adaptive Nonlinear System Identification, Texte imprimé, 9780387263281 |
| LEADER | 03770nam a22003377a 4500 | ||
|---|---|---|---|
| 001 | 938740 | ||
| 008 | 080410s2007 xx ||| |||| 00| 0 eng d | ||
| 009 | PPN123144027 | ||
| 020 | |a 9780387686301 | ||
| 041 | 0 | |a eng | |
| 082 | |a 621.382 | ||
| 100 | 1 | |a Ogunfunmi, Tokunbo. | |
| 245 | 1 | 0 | |a Adaptive Nonlinear System Identification : |b The Volterra and Wiener Model Approaches |c by Tokunbo Ogunfunmi. |
| 260 | |a New York, NY : |b Springer US. | ||
| 260 | |a Cham : |b Springer Nature, |c 2007. | ||
| 490 | 0 | |a Signals and Communication Technology |x 1860-4870 | |
| 500 | |a Archives Springer e-books (Licence nationale) | ||
| 500 | |a Archives Springer e-books (Licence nationale) | ||
| 505 | 0 | |a to Nonlinear Systems -- Polynomial Models of Nonlinear Systems -- Volterra and Wiener Nonlinear Models -- Nonlinear System Identification Methods -- to Adaptive Signal Processing -- Nonlinear Adaptive System Identification Based on Volterra Models -- Nonlinear Adaptive System Identification Based on Wiener Models (Part 1) -- Nonlinear Adaptive System Identification Based on Wiener Models (Part 2) -- Nonlinear Adaptive System Identification Based on Wiener Models (Part 3) -- Nonlinear Adaptive System Identification Based on Wiener Models (Part 4) -- Conclusions, Recent Results, and New Directions. | |
| 506 | |a Accès en ligne pour les établissements français bénéficiaires des licences nationales | ||
| 506 | |a Accès soumis à abonnement pour tout autre établissement | ||
| 506 | |a Conditions particulières de réutilisation pour les bénéficiaires des licences nationales. chttps://www.licencesnationales.fr/springer-nature-ebooks-contrat-licence-ln-2017 | ||
| 520 | |a Adaptive Nonlinear System Identification: The Volterra and Wiener Model Approaches introduces engineers and researchers to the field of nonlinear adaptive system identification. The book includes recent research results in the area of adaptive nonlinear system identification and presents simple, concise, easy-to-understand methods for identifying nonlinear systems. These methods use adaptive filter algorithms that are well known for linear systems identification. They are applicable for nonlinear systems that can be efficiently modeled by polynomials. After a brief introduction to nonlinear systems and to adaptive system identification, the author presents the discrete Volterra model approach. This is followed by an explanation of the Wiener model approach. Adaptive algorithms using both models are developed. The performance of the two methods are then compared to determine which model performs better for system identification applications. Adaptive Nonlinear System Identification: The Volterra and Wiener Model Approaches is useful to graduates students, engineers and researchers in the areas of nonlinear systems, control, biomedical systems and in adaptive signal processing. | ||
| 776 | 0 | |t Adaptive Nonlinear System Identification |b Texte imprimé |z 9781441938831 | |
| 776 | 0 | |t Adaptive Nonlinear System Identification |b Texte imprimé |z 9780387508016 | |
| 776 | 0 | |t Adaptive Nonlinear System Identification |b Texte imprimé |z 9780387263281 | |
| 856 | 4 | |q PDF |u https://doi.org/10.1007/978-0-387-68630-1 |z Accès sur la plateforme de l'éditeur | |
| 856 | 4 | |u https://revue-sommaire.istex.fr/ark:/67375/8Q1-1SW0G4SX-S |z Accès sur la plateforme Istex | |
| 856 | 4 | |5 452349901:747890188 |u https://ezproxy.univ-orleans.fr/login?url=https://dx.doi.org/10.1007/978-0-387-68630-1 |z Accès Université d'Orléans | |
| 856 | 4 | |5 180339901:750903309 |u https://ezproxy.insa-cvl.fr/login?qurl=https://dx.doi.org/10.1007/978-0-387-68630-1 |z Accès INSA CVL | |
| 997 | |0 938740 |1 Livre numérique |a Ressource numérique |b INSA |b ENSA |c 0/Bibliothèque numérique/ |c 1/Bibliothèque numérique/Autre ressource numérique/ | ||