Signals, Systems, and Signal Processing provides a concise but comprehensive introduction to the concepts and methods of signals and linear time-invariant (LTI) systems that lie at the core of many applications in control, telecommunications, audio signal processing, speech recognition, computer vision, financial and genomic data analysis, sonar, radar, and more. The topics presented in this text are a mainstay of almost every electrical, computer, and biomedical engineering degree program worldwide. These topics include:

Mathematical representations of continuous-time and discrete-time signals and LTI systems in time and frequency
Analysis of signals and LTI systems using Fourier, Laplace, and z-transforms
Sampling of continuous-time signals
An elementary introduction to filter design and signal processing

Students can access a free, interactive ebook version of the text using a URL provided inside the print version. Further supplemental materials, including videos, practice problems, exercises and quizzes, are available online in the companion Wolfram U course.

About the Author

Dr. Mariusz Jankowski is a Professor of Electrical Engineering at the University of Southern Maine, Portland, ME. He has a PhD from The City College of The City University of New York. His scholarly interests are in engineering education, mathematical modeling, and algorithm development for signal and image processing and scientific visualization. He has received awards from the Ames Laboratory (Department of Energy), Wolfram Research, and the University of Southern Maine and grants from the National Science Foundation, the Maine/Department of Energy Established Program to Stimulate Competitive Research (EPSCoR), the Maine/NASA EPSCoR, and the Maine Science and Technology Foundation. He is the developer of commercial software for image processing, a contributor to Wolfram Language functionality and documentation in the areas of image and signal processing, and the author and cocreator of the Signals, Systems, and Signal Processing online course for Wolfram U.

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