Pennsylvania State University 3 credits EE
Signals and systems representations, classifications, and analysis using; Difference and Differential equations, Laplace Transform, Z-Transform, Fourier series, FT, FFT, DFT. The major topics covered in this course include; Signals and Systems representations, classifications, and analysis using; Difference and Differential Equations, Laplace Transform, Z-Transform, Fourier series, Fourier Transform, Fast Fourier Transform (FFT), Discrete-Time Fourier Transform (DTFT) and Discrete Fourier Transform (DFT). The objective of this course is to develop intuitive and practical understanding of the essentials in signals and systems. The stress is on fundamentals of representation, and analysis of signals and their applications to systems in both discrete and continuous time and frequency domains. This course is designed to prepare the students for more advanced work in broad range areas including communications, control systems, power systems, computer engineering, signal processing and image processing.
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