Linear Estimation and Detection in Krylov Subspaces

Linear estimation and detection in Krylo

📁 Linear estimation and detection in Krylov subspaces

✍ Guido K. E. Dietl 📂 Library 📅 2007 🏛 Springer 🌐 English

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 d

Linear Estimation and Detection in Krylo

📁 Linear Estimation and Detection in Krylov Subspaces (Foundations in Signal Processing, Communications and Networking)

✍ Guido K.E. Dietl 📂 Library 📅 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

📁 Linear Estimation and Detection in Krylov Subspaces (Foundations in Signal Processing, Communications and Networking)

✍ Guido K.E. Dietl 📂 Library 📅 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

📁 Detection, Estimation, and Modulation Theory: Detection, Estimation, and Linear Modulation Theory

✍ Harry L. Van Trees(auth.) 📂 Library 📅 2001 🏛 John Wiley & Sons, Inc. 🌐 English

Content: Chapter 1 Introduction (pages 1–18): Chapter 2 Classical Detection and Estimation Theory (pages 19–165): Chapter 3 Representations of Random Processes (pages 166–238): Chapter 4 Detection of Signals—Estimation of Signal Parameters (pages 239–422): Chapter 5 Estimation of

Krylov Subspace Methods for Linear Syste

📁 Krylov Subspace Methods for Linear Systems: Principles of Algorithms

✍ Tomohiro Sogabe 📂 Library 📅 2023 🏛 Springer 🌐 English

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

Krylov Subspace Methods for Linear Syste

📁 Krylov Subspace Methods for Linear Systems. Principles of Algorithms

✍ Tomohiro Sogabe 📂 Library 📅 2022 🏛 Springer 🌐 English