Fundamentals of Linear Algebra for Signal Processing
Author:   James Reilly
Publisher:   Springer International Publishing AG
ISBN:  

9783031689178


Pages:   321
Publication Date:   05 January 2026
Format:   Paperback
Availability:   In Print   Availability explained
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Fundamentals of Linear Algebra for Signal Processing


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Author:   James Reilly
Publisher:   Springer International Publishing AG
Imprint:   Springer International Publishing AG
ISBN:  

9783031689178


ISBN 10:   3031689178
Pages:   321
Publication Date:   05 January 2026
Audience:   General/trade ,  General
Format:   Paperback
Publisher's Status:   Active
Availability:   In Print   Availability explained
This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us.

Table of Contents

Chapter 1. Fundamental Concepts.- Chapter 2. Eigenvalues, Eigenvectors and Correlation.- Chapter 3. The Singular Value Decomposition(SVD).- Chapter 4. The Quadratic Form.- Chapter 5. Gaussian Elimination and Associated Numerical Issues.- Chapter 6. The QR Decomposition.- Chapter 7. Linear Least Squares Estimation.- Chapter 8. The Rank Deficient Least Squares Problem.- Chapter 9. Regularization.- Chapter 10. Toeplitz Systems.

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Author Information

James P. Reilly, Ph.D. , is a Professor Emeritus in the Department of Electrical and Computer Engineering and the School of Biomedical Engineering at McMaster University. He works at the interface of machine learning and signal processing applied to health-related problems, and he has made pioneering contributions to treating and diagnosing psychiatric illnesses and disorders of consciousness. He has 70 refereed publications in top-tier journals, nine patents, and over 90 reviewed conference publications. In his spare time, Prof. Reilly enjoys photography, flying model airplanes, and hiking/biking on the trails near his home in Hamilton, ON.

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