Digital Signal Processing and Applications
A uniquely practical DSP text, this book gives a thorough understanding of the principles and applications of DSP with a minimum of mathematics, and provides the reader with an introduction to DSP applications in telecoms, control engineering and measurement and data analysis systems.
The new edition contains:
. Expanded coverage of the basic concepts to aid understanding
. New sections on filter sysnthesis, control theory and contemporary topics of speech and image recognition
. Full solutions to all questions and exercises in the book
. A complete on-line resource
The on-line resource offers instructors and students complete lecture notes, lecture videos, PowerPoint slides for presentations, final exams and solutions, project exercises, URLs to DSP applet experiment animations and e-meeting software for direct communication with the authors.
Assuming the reader already has some prior knowledge of signal theory, this textbook will be highly suitable for undergraduate and postgraduate students in electrical and electronic engineering taking introductory and advanced courses in DSP, as well as courses in communications and control systems engineering. It will also prove an invaluable introduction to DSP and its applications for the professional engineer.
· Expanded coverage of the basic concepts to aid understanding, along with a wide range of DSP applications
· New textbook features included throughout, including learning objectives, summary
sections, exercises and worked examples to increase accessibility of the text
· Full solutions to all questions and exercises included in the book, with extra resources on-line
Why Read This Book
You should read this book if you want a practical, low-math introduction to DSP that gets you designing and applying algorithms quickly — from filter synthesis to speech and image recognition examples. It emphasizes intuitive explanations, worked examples and ready-to-use resources (exercises, solutions and online applets) so you can move from concept to implementation fast.
Who Will Benefit
Early-career engineers, undergraduate students or practitioners who need a hands-on, application-oriented DSP reference for filter design, spectral analysis and basic speech/image processing tasks.
Level: Intermediate — Prerequisites: Basic calculus and linear algebra, introductory signals & systems concepts (sampling, convolution) and familiarity with MATLAB or another numerical tool for experiments.
Key Takeaways
- Design common FIR and IIR digital filters using practical synthesis techniques
- Apply DFT/FFT methods for spectral analysis and efficient computation
- Diagnose sampling, aliasing and quantization issues and apply mitigation strategies
- Implement DSP algorithms in MATLAB (and translate concepts to C/embedded targets)
- Use basic DSP methods for telecom, measurement/control and speech/image recognition tasks
- Interpret filter structures and realization trade-offs for stable, efficient implementations
Topics Covered
- Introduction and motivation: practical view of DSP
- Discrete-time signals and systems: basic concepts and convolution
- Sampling and aliasing; A/D and D/A considerations
- Transforms: DTFT, Z-transform and properties
- DFT and FFT algorithms for spectral analysis
- Windowing and spectral leakage
- FIR filter design techniques and structures
- IIR filter design and stability considerations
- Filter realization, quantization and fixed-point issues
- Filter synthesis and applications in control engineering
- Adaptive filtering and basic algorithms (overview)
- Speech and image recognition: application examples
- Telecommunications and measurement/data-analysis case studies
- Practical implementation notes, worked examples and solutions
Languages, Platforms & Tools
How It Compares
More applied and less mathematical than Oppenheim & Schafer's classic DSP texts; similar in accessibility to Richard Lyons' 'Understanding Digital Signal Processing' but with broader applied examples in telecom, control and recognition.
