V06J_25- Signals and Systems Part 1 - Fundamentals
Self-paced
0.3 credits
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Full course description
Welcome to Signals and Systems Part 1 - Fundamentals! These courses are designed for engineers and scientists unfamiliar with the fundamental tools of signal processing, and/or those desiring a refresher course in the foundations of this subject. The courses are divided into four modules that cover the fundamentals of Signals and Systems theory, including the basic concepts of analog and digital signal processing. Time and frequency domain concepts will be discussed, including Fourier and Laplace methods. MatLab© programs (m files) will be provided to execute many of the required analyses. The normal mathematical background of a graduate engineer is required. This course can be taken by itself; however, an understanding of the fundamentals is essential for the Remaining courses.
At the end of this course, participants will be able to:
- Describe the fundamental concepts of Signals and Systems theory, including the basics of analog and digital signal processing.
- Explain time and frequency domain concepts, and apply Fourier and Laplace methods to analyze signals.
- Utilize MatLab© programs (m files) to perform required signal processing analyses and interpret the results.
- Evaluate the importance of understanding fundamental signal processing concepts for advanced studies and applications in engineering and science.