Signals and Systems Using MATLAB, Fourth 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 worked examples and a variety of new end-of-chapter problems, suggestions for labs, and more explanation of MATLAB code.
Signals and Systems Using MATLAB, Fourth 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 worked examples and a variety of new end-of-chapter problems, suggestions for labs, and more explanation of MATLAB code.
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.
Inhaltsangabe
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
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
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