Computer-Based Exercises for Signal Processing Using MATLAB Ver.5
FEATURES: *Presents many computer-based problems that can be done in conjunction with a course in DSP theory. *Projects relate to practical systems and implementations so the reader can learn and understand how DSP is applied. *Includes projects and exercises, which make full use of the power of MATLAB v5 to explore conceptual, analytical, and computational issues in digital signal processing. *Many projects provide hints to introduce pitfalls, limitations and tricks for getting the most out of MATLAB v5. *Discusses both the power and limitations of MATLAB v5 functions and regularly explores the issue of using built-in functions versus developing code to solve problems. *Exercises consistently reinforce important problem solving behaviors, such as verifying results, experimenting with parameters as a means of building understanding and intuition, exploring the realism of formulations, comparing theoretical and numerical or measured results, and developing predictions and then comparing them to actual results.
Why Read This Book
You should read this if you want hands-on, project-based practice that connects DSP theory to real MATLAB experiments — it walks you through practical implementations and common pitfalls. The exercises force you to verify results, compare built-in functions with custom code, and develop intuition about numerical issues and system behavior.
Who Will Benefit
Students, instructors, and practicing engineers who want a structured set of MATLAB lab exercises to reinforce DSP theory and develop practical analysis and implementation skills.
Level: Intermediate — Prerequisites: Basic DSP fundamentals (discrete-time signals, convolution, sampling), familiarity with MATLAB basics and scripting.
Key Takeaways
- Implement and experiment with DFT/FFT algorithms to visualize spectral behavior and aliasing
- Design, test, and compare FIR and IIR filters using windows and classical design methods
- Perform spectral analysis and estimation (periodogram, windowing effects, resolution vs variance)
- Simulate sampling, interpolation/decimation, and multirate effects to understand practical constraints
- Evaluate numerical issues such as quantization, finite-word effects, and stability in filter implementations
- Compare MATLAB built-in functions to custom implementations to learn when to rely on toolbox routines
Topics Covered
- Introduction and MATLAB v5 primer
- Basic discrete-time signal operations and visualization
- Sampling, aliasing, and reconstruction experiments
- The DFT and FFT: computation and visualization
- Windowing, spectral leakage, and resolution
- FIR filter design and implementation (window methods)
- IIR filter design and cascade/parallel structures
- Filter structures, numerical issues, and fixed-point considerations
- Spectral estimation and parametric methods
- Multirate DSP experiments (decimation/interpolation)
- Application projects: audio and speech examples
- Project suggestions, pitfalls, and advanced exercises
Languages, Platforms & Tools
How It Compares
More lab- and exercise-focused than standard theory texts like Oppenheim & Schafer's Discrete-Time Signal Processing and more hands-on than Ingle & Proakis' MATLAB-based DSP treatments; complements them by providing guided MATLAB projects.
