Signals and Systems Using MATLAB®
- 4th Edition - March 22, 2024
- Imprint: Academic Press
- Authors: Aydin Akan, Luis F. Chaparro
- Language: English
- Paperback ISBN:9 7 8 - 0 - 4 4 3 - 1 5 7 0 9 - 7
- eBook ISBN:9 7 8 - 0 - 4 4 3 - 1 5 7 1 0 - 3
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 co… Read more
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Request a sales quoteSignals 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.
- Introduces both continuous and discrete systems early and then studies each separately more in-depth
- Contains an extensive set of worked examples and homework assignments with applications to controls, communications, and signal processing
- Begins with a review of all the background math necessary to study the subject
- Includes MATLAB® problems and applications in every chapter
Second and third year electrical or computer engineering students enrolled in a signals and systems course
- Cover image
- Title page
- Table of Contents
- Copyright
- Dedication
- Preface
- Acknowledgments
- Part 1: Introduction
- Chapter 0: From the ground up!
- 0.1. Introduction
- 0.2. Examples of signal processing applications
- 0.3. Implementation of digital signal processing algorithms
- 0.4. Continuous or discrete?
- 0.5. Complex or real?
- 0.6. Soft introduction to MATLAB
- 0.7. Problems
- References
- Part 2: Theory and applications of continuous-time signals and systems
- Chapter 1: Continuous-time signals
- 1.1. Introduction
- 1.2. Classification of time-dependent signals
- 1.3. Continuous-time signals
- 1.4. Representation of continuous-time signals using basic signals
- 1.5. Time scaling, modulation, windowing, and integration
- 1.6. Special signals—the sampling and the sinc signals
- 1.7. What have we accomplished? Where do we go from here?
- 1.8. Problems
- References
- Chapter 2: Continuous-time systems
- 2.1. Introduction
- 2.2. System concept and classification
- 2.3. Linear time-invariant (LTI) continuous-time systems
- 2.4. The convolution integral
- 2.5. Causality
- 2.6. Bounded-input bounded-output (BIBO) stability
- 2.7. What have we accomplished? Where do we go from here?
- 2.8. Problems
- References
- Chapter 3: The Laplace transform
- 3.1. Introduction
- 3.2. The two-sided Laplace transform
- 3.3. The one-sided Laplace transform
- 3.4. Properties of the one-sided Laplace transform
- 3.5. Inverse Laplace transform
- 3.6. The transfer function of LTI systems
- 3.7. Analysis of LTI systems represented by differential equations
- 3.8. Inverse of two-sided Laplace transforms
- 3.9. Application of Laplace transform to control theory
- 3.10. What have we accomplished? Where do we go from here?
- 3.11. Problems
- References
- Chapter 4: Frequency analysis: the Fourier series
- 4.1. Introduction
- 4.2. Eigenfunctions revisited
- 4.3. Complex exponential Fourier series
- 4.4. Response of LTI systems to periodic signals
- 4.5. Operations using Fourier series
- 4.6. What have we accomplished? Where do we go from here?
- 4.7. Problems
- References
- Chapter 5: Frequency analysis: the Fourier transform
- 5.1. Introduction
- 5.2. From the Fourier series to the Fourier transform
- 5.3. Existence of the Fourier transform
- 5.4. Fourier transforms from the Laplace transform
- 5.5. Linearity, inverse proportionality, and duality
- 5.6. Spectral representation
- 5.7. Convolution and filtering
- 5.8. Additional properties
- 5.9. Application of Fourier analysis to communications and filtering
- 5.10. What have we accomplished? What is next?
- 5.11. Problems
- References
- Part 3: Theory and applications of discrete-time signals and systems
- Chapter 6: Sampling theory
- 6.1. Introduction
- 6.2. Uniform sampling
- 6.3. Practical aspects of sampling
- 6.4. Application to digital communications
- 6.5. What have we accomplished? Where do we go from here?
- 6.6. Problems
- References
- Chapter 7: Discrete-time signals and systems
- 7.1. Introduction
- 7.2. Discrete-time signals
- 7.3. Discrete-time systems
- 7.4. Two-dimensional discrete signals and systems
- 7.5. What have we accomplished? Where do we go from here?
- 7.6. Problems
- References
- Chapter 8: The Z-transform
- 8.1. Introduction
- 8.2. Laplace transform of sampled signals
- 8.3. Two-sided Z-transform
- 8.4. One-sided Z-transform
- 8.5. One-sided Z-transform inverse
- 8.6. State variable representation
- 8.7. Two-dimensional Z-transform
- 8.8. What have we accomplished? Where do we go from here?
- 8.9. Problems
- References
- Chapter 9: Fourier analysis of discrete-time signals and systems
- 9.1. Introduction
- 9.2. The discrete-time Fourier transform (DTFT)
- 9.3. Fourier series of discrete-time periodic signals
- 9.4. The discrete Fourier transform (DFT)
- 9.5. Two-dimensional discrete transforms
- 9.6. What have we accomplished? Where do we go from here?
- 9.7. Problems
- References
- Chapter 10: Introduction to the design of discrete filters
- 10.1. Introduction
- 10.2. Frequency selective discrete filters
- 10.3. Filter specifications
- 10.4. IIR filter design
- 10.5. FIR filter design
- 10.6. Realization of discrete filters
- 10.7. Two-dimensional filtering of images
- 10.8. What have we accomplished? Where do we go from here?
- 10.9. Problems
- References
- Appendix A: Useful formulas
- Trigonometric relations
- Calculus
- References
- References
- Index
- Edition: 4
- Published: March 22, 2024
- Imprint: Academic Press
- No. of pages: 884
- Language: English
- Paperback ISBN: 9780443157097
- eBook ISBN: 9780443157103
AA
Aydin Akan
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.
Affiliations and expertise
Department of Electrical and Electronics Engineering, Izmir University of Economics, Izmir, TurkeyLC
Luis F. Chaparro
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.
Affiliations and expertise
Emeritus Associate Professor, Department of Electrical and Computer Engineering, University of Pittsburgh, PA, USARead Signals and Systems Using MATLAB® on ScienceDirect