Fundamentals of Linear Algebra for Signal Processing

James Reilly

ISBN 10: 3031689143 / ISBN 13: 9783031689147

Editore: Springer, Springer Jan 2025, 2025

Riguardo questo articolo

This item is printed on demand - Print on Demand Titel. Neuware -Signal processing is ubiquitous in many fields of science and engineering. This textbook is tailored specifically for graduate students and presents linear algebra, which is requisite knowledge in these fields, in a form explicitly targeted to signal processing and related disciplines. Written by an experienced author with over 35 years of expertise in signal processing research and teaching, this book provides the necessary foundation in a focused and accessible manner, offering a practical approach to linear algebra without sacrificing rigor. Emphasis is placed on a deeper conceptualization of material specific to signal processing so students may more readily adapt this knowledge to actual problems in the field. Since other emerging areas, such as machine learning, are closely related to signal processing, the book also provides the necessary background in this discipline. The book includes many examples and problems relevant to signal processing, offering explanations and insights that are difficult to find elsewhere.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 340 pp. Englisch.

Codice articolo 9783031689147

Dati bibliografici

• Titolo: Fundamentals of Linear Algebra for Signal Processing
• Editore: Springer, Springer Jan 2025
• Data di pubblicazione: 2025
• Lingua: Inglese
• ISBN 10: 3031689143
• ISBN 13: 9783031689147
• Rilegatura: Buch
• Condizione: Neu
• Dimensioni: 241 L x 160 A x 24 P (millimetri) 241 millimetri di larghezza per 160 millimetri di altezza per 24 millimetri di profondità
• Peso: 674 grammi

Descrizione articolo

Riassunto

Signal processing is ubiquitous in many fields of science and engineering. This textbook is tailored specifically for graduate students and presents linear algebra, which is requisite knowledge in these fields, in a form explicitly targeted to signal processing and related disciplines. Written by an experienced author with over 35 years of expertise in signal processing research and teaching, this book provides the necessary foundation in a focused and accessible manner, offering a practical approach to linear algebra without sacrificing rigor. Emphasis is placed on a deeper conceptualization of material specific to signal processing so students may more readily adapt this knowledge to actual problems in the field. Since other emerging areas, such as machine learning, are closely related to signal processing, the book also provides the necessary background in this discipline. The book includes many examples and problems relevant to signal processing, offering explanations and insights that are difficult to find elsewhere.

Fundamentals of Linear Algebra for Signal Processing will allow students to master the essential knowledge of linear algebra for signal processing. It is also an essential guide for researchers and practitioners in biomedical, electrical, chemical engineering, and related disciplines.

Informazioni sull?autore

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.