Linear Estimation and Detection in Krylov Subspaces

• Main Author: Dietl, Guido K.E (Author)
• Corporate Author: SpringerLink (Online service)
• Format: Electronic eBook
• Language: English
• Published: Berlin, Heidelberg : Springer Berlin Heidelberg, 2007.
• Series: Foundations in Signal Processing, Communications and Networking, 1
• Subjects: Engineering.; Computer science > Mathematics.; Computer mathematics.; Statistics.; Applied mathematics.; Engineering mathematics.; Electronics.; Microelectronics.; Electronics and Microelectronics, Instrumentation.; Signal, Image and Speech Processing.; Computational Science and Engineering.; Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences.; Math Applications in Computer Science.; Appl.Mathematics/Computational Methods of Engineering.

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...

Table of Contents:

• 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.