Digital Signal Processing
Digital Signal Processing
Eduardo A. B. da Silva, Universidade Federal do Rio de Janeiro
Sergio L. Netto, Universidade Federal do Rio de Janeiro
Digital signal processing lies at the heart of the communications revolution and is an essential element of key technologies such as mobile phones and the Internet. This book covers all the major topics in digital signal processing (DSP) design and analysis, supported by MatLab examples and other modelling techniques. The authors explain clearly and concisely why and how to use digital signal processing systems; how to approximate a desired transfer function characteristic using polynomials and ratio of polynomials; why an appropriate mapping of a transfer function on to a suitable structure is important for practical applications; and how to analyse, represent and explore the trade-off between time and frequency representation of signals. An ideal textbook for students, it will also be a useful reference for engineers working on the development of signal processing systems.
- Comprehensive state-of-the-art text on Digital Signal Processing
- Ideal for both engineers and students
- Hot topic widely taught in engineering schools
Reviews & endorsements
'This textbook covers, clearly and concisely, the core material of a DSP course … it is suitable as the main text for an undergraduate DSP course or for a short course for practising engineers.' The Times Higher Education Supplement
'This well written textbook presents the basic mathematical methods in digital signal processing … altogether, this is a useful textbook for students in electrical engineering and a convenient reference for researchers working on digital signal processing.' Zentralblatt MATH
Product details
No date availableHardback
9780521781756
632 pages
255 × 179 × 36 mm
1.456kg
Table of Contents
- Preface
- Introduction
- 1. Discrete-time systems
- 2. The z and Fourier transforms
- 3. Discrete transforms
- 4. Digital filters
- 5. FIR filter approximations
- 6. IIR filter approximations
- 7. Finite precision effects
- 8. Multirate systems
- 9. Filter banks and wavelets
- 10. Efficient FIR structures
- 11. Efficient IIR structures
- 12. Implementation of DSP systems
- References
- Index.
