Fundamentals of Communication Theory

Analog to Digital
Erscheinungsjahr 2026
ISBN: 978-3-032-20614-5
Verlag: Springer

Buch, Englisch, 169 Seiten, Format (B × H): 183 mm x 260 mm, Gewicht: 545 g

This unique textbook – made up of classroom slides and relevant context from the authors’ course at NYU – provides a clear, step-by-step journey from the fundamentals of signal analysis to the sophisticated modulation and detection strategies that power today’s communication systems. Beginning with intuitive treatments of Fourier Series, Fourier Transforms, and Nyquist’s Sampling Theorem, the book builds the mathematical intuition students need to move confidently into analog and digital modulation techniques—covering AM (DSB, SSB, VSB), FM, PM, and their behavior in noisy environments. The narrative then turns to modern digital topics such as sampling, quantization, coding, and probabilistic detection for binary and multi-signaling schemes, showing how error probabilities can be driven arbitrarily low with thoughtful waveform design. Rich in worked examples and practical insights, the text equips undergraduates with both the theoretical grounding and hands on perspective required to understand, analyze, and design real world communication links. The book is designed for a semester undergraduate course in Fundamentals of Communication Theory, and the slides are intended to be used and are available digitally.

Zielgruppe

Upper undergraduate

Autoren/Hrsg.

Pillai, Unnikrishna

Patel, Anuj

Fachgebiete

• Mathematik | Informatik EDV | Informatik Technische Informatik Netzwerk-Hardware
• Technische Wissenschaften Elektronik | Nachrichtentechnik Nachrichten- und Kommunikationstechnik Drahtlostechnologie

Inhaltsverzeichnis

Introduction.- Fourier Series.- Fourier Transforms.- Amplitude Modulation.- Angle Modulation.- Digital Modulation Techniques.- Conclusion.

Über Autor(innen)

Unnikrishna Pillai received his Ph.D. degree in systems engineering from the University of Pennsylvania in 1985 and MTech in Electrical Engineering from the Indian Institute of Technology, Kanpur, India in 1982. He joined Brooklyn Polytechnic, New York, in 1985 as an assistant professor in electrical engineering, and since 1995 he has been a professor of electrical and computer engineering (currently New York University). He is the author of several widely used textbooks including Probability, Random Variables and Stochastic Processes (A. Papoulis and S. U. Pillai) (2002), has over 250 online video lectures, and has published extensively. He is the 4-th most cited Google scholar under ‘Radar.’ His research interests include synthetic aperture radar (SAR) imaging, waveform design, power control for wireless mobiles, electronic signal identification, rational and stable approximation of norational systems, array signal processing, portfolio optimization, and applications of non-linear differential equations for modeling physical systems with time-varying characteristics. He is a life Fellow of IEEE.

Anuj Patel received his MS degree in Electrical and Computer Engineering from New York University Tandon School of Engineering (2025) and his undergraduate degree from Vellore Institute of Technology, India (2023). Towards his MS degree, he has worked as a researcher at NYU WIRELESS on Millimeter-Wave Beamforming and MIMO Channel Estimation.

Beyond academics, Patel was also involved with the NYU Tandon Graduate Student Council and the NYU Student Government Assembly. He is the recipient of Emerging Leaders Award, Distinguished Engagement Award and the Tandon Community Excellence Award.