Signals, Systems and Communication
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Why Read This Book
You will gain a rigorous, mathematically grounded foundation in signals, systems, and communication theory that underlies modern DSP, audio/speech, radar, and communications algorithms. The book emphasizes clear intuition and analytical tools you can use to analyze spectral content, design filters, and understand noise and modulation—skills that transfer directly to practical DSP work.
Who Will Benefit
Ideal for undergraduate or graduate engineering students and practicing engineers who need a solid theoretical base for DSP, filter design, and communication-system analysis.
Level: Intermediate — Prerequisites: Single-variable calculus, basic differential equations, linear algebra, introductory circuit theory, and elementary probability and random variables.
Key Takeaways
- Understand the mathematical descriptions of continuous- and discrete-time signals and linear time-invariant (LTI) systems
- Analyze signals in the frequency domain using Fourier series, Fourier transforms, and sampling concepts
- Design and evaluate classical analog and digital filter responses and frequency-selective systems
- Apply modulation and demodulation principles to basic analog and digital communication systems
- Analyze the impact of noise and random processes on signal detection and communication performance
Topics Covered
- 1. Introduction: Signals and Systems — Definitions and Examples
- 2. Time-Domain Analysis of LTI Systems and Convolution
- 3. Fourier Series and Periodic Signal Analysis
- 4. Fourier Transform and Frequency-Domain Techniques
- 5. Sampling Theorem and Discrete-Time Signal Basics
- 6. z-Transform and Discrete-Time Systems
- 7. Laplace Transform and System Stability
- 8. Frequency Response and Filter Concepts
- 9. Modulation, Demodulation, and Communication System Fundamentals
- 10. Noise, Random Processes, and Statistical Signal Considerations
- 11. Spectral Analysis and Practical Frequency-Domain Methods
- 12. Applications to Speech, Audio, Radar, and Communications
- Appendices: Mathematical Tools and Tables
Languages, Platforms & Tools
How It Compares
Covers similar foundational ground to Oppenheim & Willsky's Signals and Systems but with a stronger emphasis on communication applications; complements Proakis for deeper digital-communications and algorithmic detail.
