Introduction to Digital Signal Processing (Essential Electronics)
'Introduction to Digital Signal Processing' covers the basic theory and practice of digital signal processing (DSP) at an introductory level. As with all volumes in the Essential Electronics Series, this book retains the unique formula of minimal mathematics and straightforward explanations. The author has included examples throughout of the standard software design package, MATLAB and screen dumps are used widely throughout to illustrate the text.
Ideal for students on degree and diploma level courses in electric and electronic engineering, 'Introduction to Digital Signal Processing' contains numerous worked examples throughout as well as further problems with solutions to enable students to work both independently and in conjunction with their course.
Assumes only minimum knowledge of mathematics and electronics.
Concise and written in a straightforward and accessible style.
Packed with worked examples, exercises and self-assesment questions.
Why Read This Book
You should read this book if you want a low-math, practical introduction to core DSP concepts and worked MATLAB examples that get you from theory to experiment quickly. It helps you build intuition for sampling, spectral analysis, FFTs and basic filter design without heavy formalism.
Who Will Benefit
Undergraduate students, technicians, or practicing engineers who need a concise, application-oriented entry to DSP and MATLAB-based examples to support coursework or prototype development.
Level: Beginner — Prerequisites: Basic algebra and trigonometry, elementary complex numbers; familiarity with MATLAB (or willingness to learn basic MATLAB commands).
Key Takeaways
- Explain sampling, aliasing and quantisation and their practical consequences
- Compute and interpret the DFT/FFT for spectral analysis
- Design and evaluate basic FIR and IIR digital filters
- Implement and test DSP algorithms using MATLAB
- Apply windowing and leakage-reduction techniques for practical spectral estimates
Topics Covered
- 1. Introduction to Digital Signal Processing and Discrete Signals
- 2. Time-Domain Description of Discrete-Time Systems
- 3. Sampling, Quantisation and A/D-D/A Principles
- 4. Discrete-Time Fourier Transform and Frequency Concepts
- 5. The Z-Transform and System Stability
- 6. The Discrete Fourier Transform (DFT) and FFT Algorithms
- 7. Spectral Analysis and Windowing Methods
- 8. Design of FIR Filters
- 9. Design of IIR Filters
- 10. Filter Structures, Implementation and Finite-Word Effects
- 11. MATLAB Examples and Worked Problems
- 12. Applications: Audio and Communications Examples, Exercises and Solutions
Languages, Platforms & Tools
How It Compares
Much more elementary and application-focused than Oppenheim & Schafer's Discrete-Time Signal Processing, and somewhat simpler and less conversational than Richard Lyons' Understanding Digital Signal Processing—good as a first practical step before deeper texts.
