Fundamentals of Signals and Systems Using the Web and MATLAB (2nd Edition)
For a Signals and Systems course in Engineering departments. Developed from Professor Kamen's best-selling text Introduction to Signals and Systems, this forward-looking text presents an accessible yet comprehensive analytical treatment of signals and systems and also incorporates a strong emphasis on solving problems and exploring concepts using MATLAB. A MATLAB tutorial is provided on a disk which is available for student/instructor use, and all examples in the text are developed in terms of the Student Edition of MATLAB A (R).
Why Read This Book
You should read this book if you need a clear, worked-through introduction to continuous- and discrete-time signals and LTI systems with practical MATLAB examples that help bridge theory and computation. It emphasizes core transforms (Fourier, Laplace, z-transform), sampling, and hands-on problem solving so you can quickly apply concepts to DSP tasks and simulations.
Who Will Benefit
Undergraduate or early-graduate engineering students and practicing engineers who need a solid, example-driven refresher on signals & systems fundamentals to support DSP, communications, or control work.
Level: Intermediate — Prerequisites: Single-variable calculus, basic differential equations, and elementary linear algebra; familiarity with programming is helpful but no advanced coding required.
Key Takeaways
- Analyze continuous- and discrete-time signals using time-domain methods and convolution
- Apply Fourier series and Fourier transform techniques to characterize signal spectra
- Use Laplace and z-transforms for system analysis, stability, and solving linear systems
- Understand sampling, aliasing, and the basics of discrete-time signal processing
- Simulate and visualize signals and system responses using MATLAB examples and exercises
- Represent linear systems in state-space form and relate time/frequency-domain methods
Topics Covered
- Introduction to Signals and Systems
- Classification of Signals and Basic Operations
- Linear Time-Invariant Systems and Convolution
- Fourier Series and Periodic Signal Analysis
- Fourier Transform and Frequency-Domain Methods
- Laplace Transform and Continuous-Time System Analysis
- Sampling Theorem and Discrete-Time Signals
- z-Transform and Discrete-Time System Analysis
- Discrete-Time Fourier Analysis and Filters
- State-Space Methods and System Representation
- MATLAB Tutorial and Worked Examples
- Problems and Applications
Languages, Platforms & Tools
How It Compares
More approachable and MATLAB-focused than Oppenheim & Willsky's Signals and Systems; less DSP-algorithm depth than Proakis' Digital Signal Processing but better for hands-on introductory MATLAB practice.
