System Analysis and Signal Processing: With emphasis on the use of Matlab
Are you looking for: a clear and accessible introduction to `signals and systems'? A text that integrates the use of MATLAB throughout and provides an introductory tutorial to the software? Comprehensive coverage of both continuous and discrete-time signal processing? A book that will be useful for further study?
If the answer to any of the above questions is `Yes', then this is the ideal coursebook for you.
System Analysis and Signal Processing provides a self-contained text suitable for students of `signals and systems' and signal processing, from introductory to graduate level; it also serves as a useful companion for those studying network analysis and communications. Clear explanations and easy-to-follow examples using practical situations help to make this book one of the most accessible on the topic.
This is the only book you will need on the subject.
Why Read This Book
You should read this book if you want a clear, MATLAB-driven introduction to continuous- and discrete-time signals and systems with plenty of worked MATLAB examples that reinforce theory with simulation. It gives you practical skills for spectral analysis, transform methods, and basic filter/system characterization without getting lost in heavy mathematical abstraction.
Who Will Benefit
Undergraduate or early graduate students, engineers new to signal processing, and practitioners who want a MATLAB-focused bridge from theory to simulation.
Level: Intermediate — Prerequisites: Single-variable calculus, complex numbers and elementary linear algebra; basic programming familiarity (MATLAB or another numerical environment is helpful).
Key Takeaways
- Analyze continuous- and discrete-time signals using Fourier, Laplace and Z-transforms.
- Simulate signals and systems in MATLAB and visualize time/frequency responses and spectra.
- Compute and interpret DFT/FFT results for practical spectral analysis tasks.
- Apply the sampling theorem and convert between continuous- and discrete-time representations.
- Characterize LTI systems via impulse response, convolution, and frequency response.
- Formulate basic state-space models and use them for system analysis and responses.
Topics Covered
- Introduction and MATLAB primer
- Mathematical preliminaries (complex numbers, signals as functions)
- Continuous-time signals and systems: convolution and impulse response
- Fourier analysis for continuous-time signals (CTFT)
- Laplace transform and analysis of continuous systems
- Discrete-time signals and systems: convolution and difference equations
- Z-transform and discrete-time system analysis
- Sampling theorem and reconstruction
- DFT, FFT and practical spectral analysis
- Introduction to digital filters and basic design concepts
- State-space representations and network/system analysis
- MATLAB examples and lab-style exercises
Languages, Platforms & Tools
How It Compares
Covers similar introductory ground to Oppenheim & Willsky's Signals and Systems but is less mathematically rigorous and more MATLAB-focused; more systems-oriented and less DSP-algorithm-heavy than Lyons' Understanding Digital Signal Processing.
