Continuous and Discrete Time Signals and Systems
Continuous and Discrete Time Signals and Systems
£89.99
GBPThis textbook presents an introduction to the fundamental concepts of continuous-time (CT) and discrete-time (DT) signals and systems, treating them separately in a pedagogical and self-contained manner. Emphasis is on the basic signal processing principles, with underlying concepts illustrated using practical examples from signal processing, multimedia communications, and bioinformatics. Following introductory chapters, the text is separated into two parts. Part I covers the theories, techniques, and applications of CT signals and systems and Part II discusses these topics for DT, so that the two can be taught independently or together. With over 300 illustrations, 285 worked examples and 385 homework problems, this textbook is an ideal introduction to the subject for undergraduates in electrical and computer engineering.
- Contains over 300 illustrations with small figures in the margins, 285 worked examples and 385 homework problems, clearly segregated from the main text - with solutions available to instructors online
- Treats continuous-time and discrete-time, signals and systems in a self-contained manner so that the book can be used for a one-semester or two-semester course
- Covers cutting edge applications in the fields of audio processing, image processing and bioinformatics
- Covers filter design in the continuous time and discrete time domains
Product details
August 2007Hardback
9781108477864
880 pages
260 × 208 × 49 mm
2kg
Available
Table of Contents
- 1. Introduction to signals
- 2. Introduction to systems
- Part I. Continuous Time Signals and Systems:
- 3. Time domain analysis of systems
- 4. Signal representation using Fourier series
- 5. Continuous-time Fourier transform
- 6. Laplace transform
- 7. Continuous-time filters
- 8. Case studies for CT systems
- Part II. Discrete Time Signals and Systems:
- 9. Sampling and quantization
- 10. Time domain analysis
- 11. Discrete-time Fourier series and transform
- 12. Discrete Fourier transform
- 13. Z-transform
- 14. Digital filters
- 15. FIR filter design
- 16. IIR filter design
- 17. Applications of digital signal processing
- Bibliography
- Appendices: A. Mathematical tables
- B. Introduction to complex numbers
- C. Linear constant coefficient differential equations
- D. Partial fraction expansion
- E. Introduction to MATLAB
- F. About the CD-ROM.
