Mathematical Aspects of Signal Processing

Provides detailed coverage of the core mathematical concepts underpinning signal processing and its applications.

Sommario

Acknowledgements; Foreword; List of tables; List of figures; 1. Paradigm of signal processing; 2. Function representation; 3. Generalized inverse; 4. Modal decomposition; 5. Optimization; Solutions to problems; Index.

Info autore

Pradip Sircar is a Professor in the Department of Electrical Engineering at the Indian Institute of Technology, Kanpur. He is the co-author of Non-stationary Signal Analysis: Methods Based on Fourier-Bessel Representation (2010) and has published articles in many leading scientific journals.

Riassunto

This accessible text provides detailed coverage of the core mathematical concepts underpinning signal processing, focusing on the relationship between theory and applications. Including numerous practice questions, real-world examples, and MATLAB code, it is an excellent reference for graduates studying signal processing and mathematical methods.

Dettagli sul prodotto

• Autori: Pradip Sircar, Pradip (Indian Institute of Technology Sircar, Sircar Pradip
• Editore: Cambridge University Press ELT
• Lingue: Inglese
• Formato: Copertina rigida
• Pubblicazione: 13.10.2016
• EAN: 9781107175174
• ISBN: 978-1-107-17517-4
• Pagine: 252
• Categorie: Scienze naturali, medicina, informatica, tecnica > Informatica, EDP > Comunicazione dati, reti; Scienze sociali, diritto, economia > Media, comunicazione > Commercio librario, biblioteconomia; COMPUTERS / Computer Science, TECHNOLOGY & ENGINEERING / Signals & Signal Processing, COMPUTERS / Information Theory, Signal Processing, Information theory, Communications engineering / telecommunications, Digital signal processing (DSP)