Inbunden, Engelska, 2026
Hands-on MATLAB® for Electronics and Communication Engineering
Av Amit Chatterjee, Nagendra Kumar, Avishek Kumar
2710 kr
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Produktinformation
- Utgivningsdatum: 2026-12-21
- Mått: 178 x 254 x undefined mm
- Format: Inbunden
- Språk: Engelska
- Antal sidor: 396
- Förlag: Taylor & Francis Ltd
- ISBN: 9781032855899
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Amit Chatterjee received his M.E. degree in Electronics from IET‑DAVV, Indore, India, in 2016 (Gold Medalist), and a Ph.D. in Electrical Engineering from the Indian Institute of Technology (IIT) Indore in 2021. He was a C.V. Raman Post‑Doctoral Fellow at the Indian Institute of Science, Bangalore, in 2022, and is currently an Assistant Professor at DIT University, Dehradun, Uttarakhand. His research interests include Biometric Presentation Attack Detection, 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 Artificial Intelligence (AI)‑driven agricultural diagnostics. Nagendra Kumar received his M.Tech. degree in Electronics and Communication Engineering from Jaypee University of Engineering and Technology, Guna, India, in 2012, and a Ph.D. from IIT Indore in 2017. He is currently an Assistant Professor at the National Institute of Technology (NIT) Jamshedpur, Jharkhand. His research interests include Channel Modeling, Performance Analysis, Cooperative Relaying, Unmanned Aerial Vehicle (UAV)‑Assisted Communications, THz Systems, Fluid Antenna Systems, Intelligent Reflecting Surfaces, and Radio Frequency (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 his Ph.D. from IIT Patna in 2022, a B.E. degree in Electronics and Telecommunication Engineering from Amravati University in 2010, and an M.Tech. degree from NIT Durgapur in 2016. His research interests include image processing, computer vision, and deep learning.
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