Digital signal processing laboratory using MATLAB
"Digital Signal Processing Laboratory Using MATLAB" is intended for a computer-based DSP laboratory course that supplements a lecture course on Digital Signal Processing. The book can be used either as a stand-alone text or in conjunction with Mitra's "Digital Signal Processing: A Computer-Based Approach". The book includes 11 laboratory exercises, with each exercise containing a number of projects to be carried out on a computer. The book assumes that the reader has no background in MATLAB and teaches the reader, through tested programs in the first half of the book, the basics of this powerful language in solving important problems in signal processing. In the second half of the book, the student is asked to write the necessary MATLAB programs to carry out the projects.
Why Read This Book
You should read this book if you want hands‑on MATLAB experience applying DSP theory—each lab takes core concepts (DFT/FFT, filter design, sampling) and turns them into tested, runnable projects. It teaches MATLAB from first principles in the context of meaningful signal‑processing experiments so you can both learn the tool and test real algorithms quickly.
Who Will Benefit
Undergraduate or graduate DSP students and practicing engineers who know DSP fundamentals but want practical MATLAB lab experience and worked examples to reinforce concepts.
Level: Intermediate — Prerequisites: Basic signals & systems / DSP concepts (sampling, convolution, frequency domain), basic calculus; no prior MATLAB knowledge required.
Key Takeaways
- Implement and analyze DFT/FFT algorithms in MATLAB to perform spectral analysis
- Design, simulate, and evaluate FIR and IIR digital filters using MATLAB
- Visualize and experiment with sampling, aliasing, and quantization effects
- Use MATLAB scripts and functions to build reproducible DSP experiments and projects
- Apply multirate ideas (decimation/interpolation) and explore practical implementation issues
Topics Covered
- 1. Introduction to MATLAB and the DSP Lab Environment
- 2. Representation and Visualization of Discrete‑Time Signals
- 3. Convolution, Correlation, and LTI System Simulation
- 4. Discrete Fourier Transform and Efficient FFT Algorithms
- 5. Spectral Analysis and Windowing Techniques
- 6. FIR Filter Design and Implementation
- 7. IIR Filter Design and Realization Structures
- 8. Fixed‑Point Effects, Quantization, and Filter Testbeds
- 9. Sampling, Aliasing, and Anti‑Aliasing Filters
- 10. Multirate Signal Processing: Decimation and Interpolation
- 11. Project Exercises, Case Studies, and Suggested Extensions
- Appendices: MATLAB Primer, Useful Functions, and Solution Hints
Languages, Platforms & Tools
How It Compares
A natural complement to Mitra's own "Digital Signal Processing: A Computer-Based Approach"—this lab book is more hands‑on and MATLAB‑centered compared with theory-first texts like Oppenheim & Schafer, which emphasize mathematical foundations over guided programming exercises.
