Digital Signal Processing in Modern Communication Systems
Digital Signal Processing in Modern Communication Systems takes you on a journey that starts with basic DSP principles and ends with a treatment of modern wireless modems like OFDM and single-tone transceivers. Throughout this journey, we will cover signal processing topics that are applicable not just to the field of communications but to many engineering disciplines. This text steps outside the often dry mathematical presentation of more traditional DSP books and provides a more intuitive approach to this fascinating topic. Some of this book’s uniqueness can be summarized as follows: - An intuitive approach to the topic of digital signal processing. - Working in-book MatLab examples supporting all important concepts. - A large scope covering basic concepts (correlation, convolution, DFT, FIR filters …) as well as advanced topics (optimization, adaptive signal processing, equalization, OFDM, MIMO … ). - MatLab modeling of analog/RF effects (multipath channel, thermal noise, phase noise, IQ imbalances, DC and frequency offsets) that must be addressed and solved in modern modem design. - Real world topics that go beyond the ordinary communication textbooks such as signal synchronization, modem rate management, and fixed-point effects. All in all, this book is a must-have for students and practicing engineers who want to build upon the principles of Digital Signal Processing, enrich their understanding with advanced topics, and then apply that knowledge to the design of modern wireless modems.
Why Read This Book
You should read this book if you want an engineer-friendly, MATLAB-driven tour from DSP fundamentals to practical modem building blocks (single-tone transceivers and OFDM). It emphasizes intuition and hands-on examples so you can quickly prototype and test signal-processing blocks used in modern wireless systems.
Who Will Benefit
Practicing communications and DSP engineers or graduate students who need practical, simulation-backed coverage of baseband DSP and modem building blocks.
Level: Intermediate — Prerequisites: Basic signals & systems, calculus and linear algebra, and familiarity with MATLAB (or Octave) and core communications concepts (Fourier transform, sampling, basic modulation).
Key Takeaways
- Understand the discrete-time representation of signals and key spectral analysis tools (DTFT, DFT/FFT).
- Design and analyze FIR and IIR digital filters for communications applications.
- Implement and experiment with FFT-based processing and spectral estimation using MATLAB.
- Analyze and simulate practical modem structures including single-tone transceivers and OFDM links.
- Apply synchronization, correlation, and basic detection techniques to receiver design.
- Simulate channel impairments and explore equalization and basic adaptive filtering strategies.
Topics Covered
- 1. Introduction and Motivation — DSP in Modern Communications
- 2. Discrete-Time Signals, Sampling, and Reconstruction
- 3. Fourier Methods for Discrete Signals (DTFT, DFT, FFT)
- 4. Z-Transform and System Analysis
- 5. Digital Filter Design: FIR and IIR Techniques
- 6. Windowing, Spectral Estimation, and Practical FFT Use
- 7. Correlation, Detection, and Estimation Fundamentals
- 8. Modulation Basics and Baseband Representation
- 9. Single-Tone Transceivers and Receiver Building Blocks
- 10. OFDM: Principles, Implementation, and Practical Issues
- 11. Synchronization, Channel Estimation, and Equalization
- 12. MATLAB Examples, Simulations, and Design Exercises
- 13. Appendices: Mathematical Tools and Reference Material
Languages, Platforms & Tools
How It Compares
More hands-on and communications-focused than classic DSP textbooks (e.g., Oppenheim/Lyons) and less mathematically rigorous than Proakis' Digital Communications; closer in spirit to a practical MATLAB-oriented companion for comms engineers.
