Signals and Systems
Design and MATLAB concepts have been integrated in text.
* Integrates applications as it relates signals to a remote sensing system, a controls system, radio astronomy, a biomedical system and seismology.
Why Read This Book
You should read this book if you need a clear, application-minded foundation in continuous- and discrete-time signals and linear systems with worked MATLAB examples that make abstract transform-domain results practical. It connects core theory (Fourier, Laplace, Z-transform, sampling) to real applications such as remote sensing, controls, biomedical signals and radio astronomy so you can move quickly from analysis to simulation.
Who Will Benefit
Upper-level undergraduate or graduate students and practicing engineers who need a solid, application-focused grounding in signals and systems to support DSP, communications, or sensing work.
Level: Intermediate — Prerequisites: Single-variable calculus, basic differential equations, complex numbers and elementary linear algebra; some prior exposure to basic electrical circuits or signals is helpful but not required.
Key Takeaways
- Analyze continuous- and discrete-time signals and systems in the time domain using convolution and state-space descriptions.
- Apply Fourier series, Fourier transforms and frequency-domain techniques to characterize and manipulate signals.
- Use Laplace and Z-transforms to analyze system stability and transient/steady-state behavior.
- Explain and apply the sampling theorem and practical issues in analog-to-digital conversion and reconstruction.
- Simulate signals and systems with MATLAB to validate theoretical results and explore application examples.
- Relate transform-domain analysis to practical applications such as remote sensing, biomedical signal processing and control systems.
Topics Covered
- 1. Introduction to Signals and Systems
- 2. Time-Domain Analysis of Continuous-Time LTI Systems
- 3. Fourier Series and Periodic Signals
- 4. Continuous-Time Fourier Transform and Frequency Response
- 5. Laplace Transform and System Stability
- 6. Sampling and Reconstruction
- 7. Discrete-Time Signals and Systems
- 8. Discrete-Time Fourier Transform and Frequency Analysis
- 9. Z-Transform and Discrete-Time System Analysis
- 10. Implementation and MATLAB Examples
- 11. State-Space Methods and Time-Domain Modeling
- 12. Applications: Remote Sensing, Controls, Radio Astronomy, Biomedical Signals, Seismology
Languages, Platforms & Tools
How It Compares
Covers similar introductory ground to Oppenheim & Willsky's Signals and Systems but is more application- and MATLAB-oriented; compared with Lathi, Haykin emphasizes practical examples and cross-domain applications.
