Digital Signal Processing with MATLAB®

From Fundamentals to AI Applications

1 Edición - 1 de febrero de 2027
Última edición
Autores: Samir I. Abood, Zainab Ibrahim Abood
Idioma: Inglés

Digital Signal Processing with MATLAB®: From Fundamentals to AI Applications provides coverage of discrete-time signals and systems, and lays out the mathematical fundamenta… Leer más

Descripción

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.

Puntos claves

Covers the basics of digital signal processing (DSP), and discusses the value of Artificial Intelligence to DSP
Explains how to utilise MATLAB® when working on DSP to bridge the gap between theory and practice
Includes solved examples, challenging problems, and MATLAB® code programs in each chapter

De interès para

Graduate students, researchers, and scientists specializing in fundamental and applied research and advanced development in digital signal processing, including electrical engineering, communications, system analysis and control, automation and control, robotics, electronics and industrial engineering, control systems engineering, information technology

Índice

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

Detalles del producto

Edición: 1
Última edición
Publicado: 1 de febrero de 2027
Idioma: Inglés

Sobre los autores

Samir I. Abood

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.

Afiliaciones y experiencia

Prairie View A&M University, USA

Zainab Ibrahim Abood

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.