Signals and Systems

Khalid Sayood received the B.S. and M.S. degrees in electrical engineering from the University of Rochester, Rochester, NY, in 1977 and 1979, respectively, and the Ph.D. degree in electrical engineering from Texas A&M University, College Station, in 1982. From 1995 to 1996, he served as the Founding Head of the Computer Vision and Image Processing Group at the Turkish National Research Council Informatics Institute. From 1996 to 1997, he was a Visiting Professor with Bogazici University, Istanbul, Turkey. Since 1982, he has been with the University of Nebraska–Lincoln, where he is currently serving as a Professor in the Department of Electrical and Computer Engineering. He is the author of Introduction to Data Compression, 5th ed., Morgan Kaufmann, 2017, Understanding Circuits: Learning Problem Solving Using Circuit Analysis, Morgan & Claypool, 2005, Learning Programming Using MATLAB, Morgan & Claypool, 2006, Joint Source Channel Coding Using Arithmetic Codes, Morgan & Claypool, 2010,and Computational Genomic Signatures, Morgan & Claypool, 2011, and the Editor of Lossless Compression Handbook, Academic Press, 2002. His research interests include bioinformatics, data compression, and biological signal processing.

• Preface.- Acknowledgments.- What is This Course About.- Complex Numbers.- Functions.- Special Functions.- Classification of Systems.- Linearity and Time Invariance.- Linearity, Time-Invariance, and the Role of the Impulse Response.- Properties of LTI Systems.- Discrete Time Convolution.- Continuous Time Convolution.- Fourier Series.- Fourier Series – Properties and Interpretation.- The Fourier Transform.- Properties of the Fourier Transform.- Some More Useful Properties of the Fourier Transform.- Sampling.- Amplitude Modulation.- Discrete Fourier Transform.- The Laplace Transform – Introduction.- Uniqueness and Linearity of the Laplace Transform.- Laplace Transform – Poles and Zeros.- The Inverse Laplace Transform.- Properties of Laplace Transforms.- Analysis of Systems with Feedback.- Z-Transform.- Region of Convergence for the Z-Transform.- Properties of the Z-Transform.- The Inverse Z-Transform.- Filters and Difference Equations.- Discrete-Time Feedback Systems.- Author’s Biography.