Digital Signal Processing with MATLAB®

From Fundamentals to AI Applications
Erscheinungsjahr 2027
ISBN: 978-0-443-33261-6
Verlag: Elsevier Science & Technology

Buch, Englisch, Format (B × H): 191 mm x 235 mm, Gewicht: 450 g

Digital Signal Processing with MATLAB®: From Fundamentals to AI Applications provides coverage of discrete-time signals and systems, and lays out the mathematical fundamentals of digital signal processing (DSP) systems. The book contains a solution to large-scale signal processing problems, namely the development of methods and algorithms that increase (a) operational efficiency under different uncertainty conditions and (b) system stability rate. It offers an algebraic approach to digital signal processing, including algorithms related to digital systems, the setting of parameters, plus operational estimation, detection, classification, resolution, and reliability. Digital Signal Processing with MATLAB®: From Fundamentals to AI Applications begins with a thorough explanation of MATLAB® in recognition of the Accreditation Board for Engineering and Technology (ABET) requirements for integrating computer tools into DSP. The principles of DSP are presented using a step-by-step approach; each chapter starts with an introduction that states the chapter objectives, and ends with a discussion of practical applications of DSP, including providing problems that help the reader understand how the concepts are used in real-life situations. Sometimes, problems are solved in two or three ways to facilitate a deeper understanding and comparison of different approaches. Digital Signal Processing with MATLAB®: From Fundamentals to AI Applications teaches the fundamental principles of digital signal processing, and explains how MATLAB® can be used in the development of methods and algorithms for DSP.

Autoren/Hrsg.

Abood, Samir I.

Abood, Zainab Ibrahim

Fachgebiete

• Mathematik | Informatik Mathematik Mathematik Allgemein Diskrete Mathematik, Kombinatorik
• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Computer Vision
• Technische Wissenschaften Elektronik | Nachrichtentechnik Nachrichten- und Kommunikationstechnik Signalverarbeitung
• Wirtschaftswissenschaften Betriebswirtschaft Betriebswirtschaft: Theorie & Allgemeines
• Mathematik | Informatik EDV | Informatik Business Application Unternehmenssoftware
• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Mustererkennung, Biometrik

Inhaltsverzeichnis

1. Signals and System with MATLAB®
2. Convolution
3. Discrete-Time Fourier Series
4. Fourier Transform
5. Z-Transform
6. Sampling
7. Digital Filters
8. Digital Filter Design
9. DSP Applications

Über Autor(innen)

Abood, Samir I.
Dr. Samir I. Abood received B.S. and M.S. degrees in Electrical Engineering from the University of Technology and a Ph.D. from Prairie View A&M University (PVAMU). He began his engineering career before transitioning into academia, teaching at the University of Baghdad, Al-Nahrain University, and Middle Technical University. Later, he joined PVAMU as a research assistant and is now a faculty member and researcher at the SMART Center. His research focuses on power electronics, machine drives, system and control theory, and cybersecurity in smart grids. He has authored 30 research papers and 10 books.

Abood, Zainab Ibrahim
Zainab Ibrahim Abood, Assistant professor, received her B.Sc. and M.Sc. in Electrical Engineering from College of Engineering, University of Baghdad, Iraq. She has been a faculty member since 2009 and is currently an Assistant Professor at the Department of Electrical Engineering, University of Baghdad, Iraq. Her research interests include digital signal and image processing, communication, electronics, information security, and research methodology.