Digital Communication Systems

Digital Communication Systems by Simon Haykin is a comprehensive textbook that covers the fundamental principles of digital communications. The book is designed for undergraduate and postgraduate students in electrical and computer engineering. It provides a strong theoretical foundation while also connecting the concepts to practical applications.
Key Topics Covered
The book is structured to guide the reader from foundational concepts to more advanced topics. It begins with the essential mathematical underpinnings of digital communication, including:
• Fourier analysis: This section establishes the basis for understanding signals and systems in both the time and frequency domains.
• Probability theory and stochastic processes: These chapters are crucial for analyzing random signals and noise, which are inherent in communication systems.
• Information theory: This part introduces concepts like entropy and channel capacity, which are central to understanding the limits and efficiency of communication.
The book then transitions into the core aspects of digital communications:
• Analog-to-digital conversion: This includes topics such as sampling theory, pulse-code modulation (PCM), and delta modulation, which explain how analog signals are converted into a digital format.
• Passband digital modulation: Haykin discusses various modulation techniques like amplitude-shift keying (ASK), phase-shift keying (PSK), frequency-shift keying (FSK), and quadrature amplitude modulation (QAM).
• Multiple access techniques: The book explores methods that allow multiple users to share a common communication channel, such as FDMA, TDMA, and CDMA.
• Error-control coding: This section covers various coding schemes designed to detect and correct errors that occur during transmission.
Digital Communication Systems is known for its detailed explanations and numerous worked-out examples, making it a valuable resource for students seeking to develop a deep, intuitive understanding of the subject. The book often includes MATLAB-based computer experiments to reinforce theoretical concepts with practical application.