Signals and Systems Using MATLAB®

Dr. Aydin Akan received his Ph.D. in Electrical Engineering from the University of Pittsburgh in 1996. He was with the department of Electrical and Electronics Engineering at Istanbul University between 1996 and 2017. He is currently 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. 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.

Part 1 Introduction 0. 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 Part 3 Theory and Application of Discrete-Time Signals and Systems 6. Sampling Theory 7. Discrete-time Signals and Systems 8. The Z-transform 9: Fourier Analysis of Discrete-time Signals and Systems 10. Introduction to the Design of Discrete Filters Appendix A: Useful Formulas Bibliography