Linear Estimation and Detection in Krylov Subspaces
This book focuses on the foundations of linear estimation theory which is essential for effective signal processing. In its first part, it gives a comprehensive overview of several key methods like reduced-rank signal processing and Krylov subspace methods of numerical mathematics. Based on the deri...
Kaydedildi:
| Yazar: | |
|---|---|
| Materyal Türü: | Livre numérique |
| Dil: | Anglais |
| Baskı/Yayın Bilgisi: |
Berlin, Heidelberg :
Springer Berlin Heidelberg
2007.
Cham : Springer Nature |
| Seri Bilgileri: | Foundations in Signal Processing, Communications and Networking
1 |
| Online Erişim: | Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
| Not: |
Archives Springer e-books (Licence nationale) Archives Springer e-books (Licence nationale) |
| Autres localisations: | Voir dans le Sudoc |
| Edition sous un autre format: | • Linear Estimation and Detection in Krylov Subspaces, Texte imprimé, 9783540684787 • Linear Estimation and Detection in Krylov Subspaces, Texte imprimé, 9783540834052 • Linear Estimation and Detection in Krylov Subspaces, Texte imprimé, 9783642088032 |
İçindekiler:
- Theory: Linear Estimation in Krylov Subspaces
- Efficient Matrix Wiener Filter Implementations
- Block Krylov Methods
- Reduced-Rank Matrix Wiener Filters in Krylov Subspaces
- Application: Iterative Multiuser Detection
- System Model for Iterative Multiuser Detection
- System Performance
- Conclusions.