Fundamentals of Communications Systems (Communications Engineering (Hardcover))
Get a Solid Account of Physical Layer Communications Theory, Illustrated with Numerous Interactive MATLAB Mini-Projects
You can rely on Fundamentals of Communications Systems for a solid introduction to physical layer communications theory, filled with modern implementations and MATLAB examples. This state-of-the-art guide covers essential theory and current engineering practice, carefully explaining the real-world tradeoffs necessary among performance, spectral efficiency, and complexity.
Written by an award-winning communications expert, the book first takes readers through analog communications basics, amplitude modulations, analog angle modulation, and random processes. This essential resource then explains noise in bandpass communications systems…bandpass Gaussian random processes…digital communications basics…complexity of optimum demodulation…spectrally efficient data transmission...and more. Fundamentals of Communications Systems features:
- A modern approach to communications theory, reflecting current engineering applications
- Numerous MATLAB problems integrated throughout, with software available for download
- Detailed coverage of tradeoffs among performance, spectral efficiency, and complexity in engineering design
- Text written in four parts for easy modular presentation
Inside This On-Target Communications Engineering Tool
• Mathematical Foundations • Analog Communications Basics • Amplitude Modulations • Analog Angle Modulation • More Topics in Analog Communications • Random Processes • Noise in Bandpass Communications Systems • Bandpass Gaussian Random Processes • Digital Communications Basics • Optimal Single Bit Demodulation Structures • Transmitting More than One Bit • Complexity of Optimum Demodulation • Spectrally Efficient Data TransmissionWhy Read This Book
You will get a hands-on, engineering-focused introduction to physical-layer communications that balances essential theory with practical MATLAB mini-projects so you can test and visualize real designs. The book emphasizes real-world tradeoffs among performance, spectral efficiency, and implementation complexity, making it ideal if you want to move from equations to working simulations quickly.
Who Will Benefit
Intermediate readers — advanced undergraduates, graduate students, and practicing engineers who need a practical, MATLAB-driven grounding in physical-layer communications and related DSP techniques.
Level: Intermediate — Prerequisites: Undergraduate-level signals and systems (Fourier/LaPlace transforms), calculus, basic probability and random processes, and familiarity with MATLAB or GNU Octave.
Key Takeaways
- Implement and simulate common analog and digital modulation schemes (AM, FM, PSK, QAM, FSK) in MATLAB.
- Analyze the impact of noise and random processes on bandpass communications and compute bit-error rates for practical channels.
- Design and apply digital filters and FFT-based spectral analysis for channel shaping, detection, and synchronization.
- Apply adaptive filtering and equalization techniques to mitigate channel distortion and multipath effects.
- Use statistical signal processing tools (detection, estimation) to build practical receivers and evaluate performance tradeoffs.
- Prototype communication system blocks with MATLAB mini-projects to explore performance versus complexity in realistic scenarios.
Topics Covered
- 1. Introduction to Communication Systems and System Tradeoffs
- 2. Signals, Spectra, and Linear Time-Invariant Systems
- 3. Analog Modulation: AM, DSB, SSB, and Envelope Detection
- 4. Angle Modulation: FM/PM and Wideband/Narrowband Analysis
- 5. Random Processes, Noise, and Power Spectral Density
- 6. Fundamentals of Digital Modulation: Baseband Signaling and Symbol Mappings
- 7. Bandpass Digital Modulations: PSK, QAM, FSK and Performance Analysis
- 8. Detection, Estimation, and Receiver Design (Matched Filters, Correlators)
- 9. Synchronization, Channel Effects and Equalization
- 10. Digital Filter Design, Multirate Techniques, and Practical Implementations
- 11. FFT, Spectral Analysis and MATLAB Techniques for Spectrum Estimation
- 12. Adaptive Filtering, LMS Algorithms and Applications to Channel Tracking
- 13. Case Studies and Applications: Audio/Speech, Radar, and Communications Examples
- Appendix: MATLAB Mini-Projects and Suggested Exercises
Languages, Platforms & Tools
How It Compares
More application- and MATLAB-focused than Proakis' mathematically rigorous Digital Communications and more hands-on than Sklar's accessible Digital Communications, making Fitz a practical bridge between theory and simulation.
