𝔖 Scriptorium
✦   LIBER   ✦

πŸ“

Linear estimation and detection in Krylov subspaces

✍ Scribed by Guido K. E. Dietl


Publisher
Springer
Year
2007
Tongue
English
Leaves
248
Series
Foundations in Signal Processing, Communications and Networking No. 1
Category
Library

⬇  Acquire This Volume

No coin nor oath required. For personal study only.

✦ Synopsis


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 derivation of the multistage Wiener filter in its most general form, the relationship between statistical signal processing and numerical mathematics is presented. In the second part, the theory is applied to iterative multiuser detection receivers (Turbo equalization) which are typically desired in wireless communications systems.

The investigations include exact computational complexity considerations and performance analysis based on extrinsic information transfer charts as well as Monte-Carlo simulations.


πŸ“œ SIMILAR VOLUMES


Linear Estimation and Detection in Krylo
✍ Guido K.E. Dietl πŸ“‚ Library πŸ“… 2007 🌐 English

This book focuses linear estimation theory, which is essential for effective signal processing. The first section offers a comprehensive overview of key methods like reduced-rank signal processing and Krylov subspace methods of numerical mathematics. Also, the relationship between statistical signal

Linear Estimation and Detection in Krylo
✍ Guido K.E. Dietl πŸ“‚ Library πŸ“… 2007 🌐 English

This book focuses linear estimation theory, which is essential for effective signal processing. The first section offers a comprehensive overview of key methods like reduced-rank signal processing and Krylov subspace methods of numerical mathematics. Also, the relationship between statistical signal

Detection, Estimation, and Modulation Th
✍ Harry L. Van Trees(auth.) πŸ“‚ Library πŸ“… 2001 πŸ› John Wiley & Sons, Inc. 🌐 English

Content: <br>Chapter 1 Introduction (pages 1–18): <br>Chapter 2 Classical Detection and Estimation Theory (pages 19–165): <br>Chapter 3 Representations of Random Processes (pages 166–238): <br>Chapter 4 Detection of Signalsβ€”Estimation of Signal Parameters (pages 239–422): <br>Chapter 5 Estimation of

Krylov Subspace Methods for Linear Syste
✍ Tomohiro Sogabe πŸ“‚ Library πŸ“… 2023 πŸ› Springer 🌐 English

<p><span>This book focuses on Krylov subspace methods for solving linear systems, which are known as one of the top 10 algorithms in the twentieth century, such as Fast Fourier Transform and Quick Sort (SIAM News, 2000). Theoretical aspects of Krylov subspace methods developed in the twentieth centu