Hands-on MATLAB® for Electronics and Communication Engineering

1. Auflage 2026
ISBN: 978-1-032-85589-9
Verlag: Taylor & Francis Ltd

Buch, Englisch, 456 Seiten, Format (B × H): 178 mm x 254 mm

The reference text delves into the intricacies of MATLAB® applications within the domains of electronics and communication engineering. Crafted as a comprehensive resource for both aspiring engineers and seasoned professionals, it offers a pragmatic approach to mastering MATLAB's utility in engineering practice. The text covers advanced topics such as electrical circuit analysis, electronics circuit design, and communication systems.

This book:

- Provides a detailed exploration of MATLAB's foundational concepts and basic programming principles, providing beginners with a solid understanding of the software's environment and capabilities.

- Comprehensive coverage of MATLAB applications in electronics, and communication engineering, offering a holistic understanding of the software's versatility across diverse engineering fields.

- Illustrates Case studies illustrating real-world applications of MATLAB in electrical engineering, electronics, and communication engineering, offering valuable insights into industry practices and challenges.

- Covers system modeling in MATLAB, state-space representation, signal generation, visualization, filtering, and convolution.

- Includes examples, exercises, and end-of-chapter summaries to reinforce theoretical concepts and encourage immediate practical application, enhancing problem-solving abilities for students and professionals alike.

It is primarily written for senior undergraduates, graduate students, and academic researchers in the fields of electrical engineering, electronics, and communications engineering.

Zielgruppe

Academic, Postgraduate, and Professional Reference

Autoren/Hrsg.

Chatterjee, Amit

Kumar, Nagendra

Kumar, Avishek

Fachgebiete

• Technische Wissenschaften Energietechnik | Elektrotechnik Elektrotechnik
• Technische Wissenschaften Elektronik | Nachrichtentechnik Elektronik
• Technische Wissenschaften Elektronik | Nachrichtentechnik Nachrichten- und Kommunikationstechnik

Inhaltsverzeichnis

1. Introduction to MATLAB. 2. MATLAB Programming Basics. 3. MATLAB Programming: Best Practices, Optimization, and Debugging. Chapter 4: MATLAB for Circuit Theory and Electronic Devices. 5. MATLAB for Digital Logic Design. 6. MATLAB for Signals and Systems. 7. MATLAB for Control System. 8. MATLAB for Analog Communication. 9. MATLAB for Pulse Modulation. 10. MATLAB for Digital Communication. 11. MATLAB for Digital Image Processing. 12. Research with MATLAB.

Über Autor(innen)

Amit Chatterjee received the M.E. degree in Electronics from IET-DAVV, Indore, India, in 2016 (Gold Medalist), and the Ph.D. degree in Electrical Engineering from the Indian Institute of Technology (IIT) Indore, India, in 2021. He was a C.V. Raman Post-Doctoral Fellow at the Indian Institute of Science (IISc), Bangalore, in 2022. He is currently an Assistant Professor with DIT University, Dehradun, Uttarakhand-248009, India. His research interests include Biometric Presentation Attack Detection (PAD), Optical Metrology, Biospeckle Analysis, Fringe Projection Profilometry, and Machine Learning Applications in Agriculture and Drug Discovery. His work contributes to the advancement of secure biometric systems and AI-driven agricultural diagnostics.

Nagendra Kumar received the M.Tech. degree in electronics and communication engineering from the Jaypee University of Engineering and Technology, Guna, India, in 2012, and the Ph.D. degree from Indian Institute of Technology (IIT) Indore, India, in 2017. He is currently an Assistant Professor with the National Institute of Technology (NIT) Jamshedpur, Jharkhand-831014, India. His research interests include Channel modeling, Performance analysis, Cooperative relaying, UAV-assisted communications, THz systems, Fluid antenna systems (FAS), Intelligent reflecting surfaces, and RF energy harvesting. His work contributes to the advancement of next-generation 5G/6G communication systems.

Avishek Kumar is an Assistant Professor at the Amity Centre for Artificial Intelligence, Amity University Uttar Pradesh. He received the Ph.D. degree from IIT Patna in 2022, the B.E. degree in Electronics and Telecommunication Engineering from Amravati University in 2010, and the M.Tech. degree from NIT Durgapur in 2016. His research interests include image processing, computer vision, and deep learning.