Digital Processing of Signals: Theory and Practice
The latest, completely revised edition of this highly successful volume outlines the techniques for the digital processing of signals (DSP) providing a clear discussion of the technical problems. Essential theories of DSP are discussed in a clear and concise manner and the merits of the various techniques are also compared. New developments such as Fourier transforms, filter banks, and applications of DSP in telecommunications are covered in detail. Special features include: exercises which enable the reader to have a more pragmatic understanding of the topics discussed a new chapter on filter banks updated information on finite impulse response (FIR) filters It will prove an invaluable text for practising development engineers, researchers and students working in advanced electronic and electrical engineering.
Why Read This Book
You should read this book if you want a compact, application-minded introduction to the core techniques of digital signal processing — from discrete Fourier analysis and FFTs to practical FIR/IIR design and filter banks. It balances theory with worked examples and exercises so you can quickly apply methods to telecommunications, audio, and general DSP problems.
Who Will Benefit
Practicing engineers and graduate-level students who need a pragmatic, engineering-oriented DSP reference bridging theory and implementation.
Level: Intermediate — Prerequisites: Basic signals and systems (discrete-time signals), calculus and complex numbers, some linear algebra; MATLAB familiarity is helpful but not required.
Key Takeaways
- Compute and interpret discrete-time Fourier transforms and implement FFT-based spectral analysis.
- Design and evaluate FIR and IIR digital filters using windowing, bilinear transform and frequency-sampling techniques.
- Apply multirate techniques and design filter banks for efficient subband processing.
- Analyze sampling, aliasing and reconstruction issues for practical systems.
- Compare and select DSP methods appropriate for telecommunications and audio applications.
Topics Covered
- 1. Introduction to Digital Signal Processing and Sampling
- 2. Discrete-Time Signals and Systems
- 3. The Z-Transform and Discrete-Time Fourier Transform
- 4. Discrete Fourier Transform and FFT Algorithms
- 5. Sampling, Aliasing and Reconstruction
- 6. FIR Filter Structures and Design Methods
- 7. IIR Filters and Analog-to-Digital Conversion Techniques
- 8. Filter Design: Windows, Frequency Sampling and Optimal Methods
- 9. Multirate Signal Processing and Decimation/Interpolation
- 10. Filter Banks and Subband Coding (new/expanded chapter)
- 11. Spectral Analysis and Practical Considerations
- 12. Applications in Telecommunications and Audio
- Appendices, Examples and Exercises
Languages, Platforms & Tools
How It Compares
More application-oriented and concise than Oppenheim & Schafer's Signals and Systems / DSP texts and less mathematically heavy than Proakis & Manolakis; offers practical filter-bank/multirate coverage that complements more theory-focused classics.
