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Signals and Systems Using MATLAB, Third Edition, features a pedagogically rich and accessible approach to what can commonly be a mathematically dry subject. Historical notes and common mistakes combined with applications in controls, communications and signal processing help students understand and appreciate the usefulness of the techniques described in the text. This new edition features more end-of-chapter problems, new content on two-dimensional signal processing, and discussions on the state-of-the-art in signal processing.
- Introduces both continuous and discrete systems early, then studies each (separately) in-depth
- Contains an extensive set of worked examples and homework assignments, with applications for controls, communications, and signal processing
- Begins with a review on all the background math necessary to study the subject
- Includes MATLAB® applications in every chapter
Second and third year electrical or computer engineering students enrolled in a signals and systems course
Part 1 Introduction: From the Ground Up!
Part 2 Theory and Application of Continuous-Time Signals and Systems
1. Continuous-time Signals
2. Continuous-time Systems
3. The Laplace Transform
4. Frequency Analysis: The Fourier Series
5. Frequency Analysis: The Fourier Transform
6. Application of Laplace Analysis to Control
7. Fourier Analysis in Communications and Filtering
Part 3 Theory and Application of Discrete-Time Signals and Systems
8. Sampling Theory
9. Discrete-time Signals and Systems
10. The Z-transform
11. Fourier Analysis of Discrete-time Signals and Systems
12. Introduction to the Design of Discrete Filters
Appendix A: Useful Formulas
- No. of pages:
- © Academic Press 2019
- 1st November 2018
- Academic Press
- eBook ISBN:
- Paperback ISBN:
Dr. Chaparro's research interests include statistical signal processing, time-frequency analysis, nonlinear image processing and multidimensional system theory. He is a senior Member of IEEE, Associate Editor of the Journal of the Franklin Institute, past Associate Editor of the IEEE Transaction on Signal Processing and member of the IEEE Technical Committee on Statistical Signal and Array Processing
Emeritus Associate Professor, Department of Electrical and Computer Engineering, University of Pittsburgh, PA, USA
Dr. Aydin Akan received the Ph.D. degree from the University of Pittsburgh, Pittsburgh, PA, USA in 1996, in Electrical Engineering. He was with the department of Electrical and Electronics Engineering at Istanbul University between 1996 and 2017. Currently, he is a Professor in the Department of Biomedical Engineering, Izmir Katip Celebi University, Izmir, Turkey. His research interests are non-stationary signal processing, time–frequency signal analysis methods and their applications to biomedical engineering and wireless communications. Dr. Akan is a senior member of the IEEE, Signal Processing Society (SPS), and Engineering in Medicine and Biology Society (EMBS), and editorial board member of the Digital Signal Processing Journal
Department of Biomedical Engineering, Izmir Katip Celebi University, Izmir, Turkey
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