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\newcommand\semester{Spring 2024}
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\newcommand\courseNum{ECE 3245}
\newcommand\courseName{Discrete Time Signals \& System}
\newcommand\courseCoordinator{Meltem Izzetoglu}
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\newcommand\textBookTitle{Signals and Systems: Theory and Applications}
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\newcommand\textBookPub{Michigan Publishing Services}
\newcommand\textBookYr{2018}
\newcommand\textBookISBN{ISBN 978-1-60785-486-9}
\newcommand\supplMaterials{\\
•	Ulaby, F.T., \& Yagle, A. E. Signals \& Systems: Theory and Applications. Michigan Pub. 2018 (Available on course web page). \\
•	Course Notes by Dr. Kevin Buckley (Available on course web page). \\
•	Haykin S, Van Veen B., Signals and Systems,  John Wiley and Sons, 2005. \\
•	Lathi B.P., Linear systems and signals, Berkeley-Cambridge Press, 1992. \\
•	Lecture notes
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\newcommand\catalogDesc{Discrete-time signal and system representation; sampling of continuous signals; discrete-time Fourier and Z-transformations; frequency content of signals and frequency response of systems; systems analysis and filtering.}
\newcommand\preReqs{ECE 2409  and MAT 2705}
\newcommand\coReqs{ECE 3230}
\newcommand\coreRequirement{Required for BSEE and BSCpE}
\newcommand\courseExpectation{Students will have a better understanding of the theory and methods of signal analysis and synthesis and system analysis and implementation. Students will learn convolution operation and transform techniques both in continuous and discrete time. Through examples, students will have exposure to basic signal processing applications in different fields.
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\newcommand\covTopics{\item Signals and systems: classes, properties and operations in continuous and discrete time
\item Linear Time-Invariant systems: impulse response, convolution and I/O representation in discrete time
\item Analog to Digital conversion: sampling and quantization
\item Continuous time transforms: Fourier analysis 
\item Discrete time transforms: Discrete time Fourier transform \& z-transform}
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\large \textbf{Week} & \large \textbf{Topics}\\
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1 & Continuous time (CT) signals, classification, operations\\
2 & Analog-to-digital conversion: sampling and quantization\\
3 & Discrete time (DT) signals, classification, operations\\
4 & Discrete time (DT) systems, definitions, properties\\
5 & Test 1\\
5-6 & DT Linear time-invariant (LTI) systems: Impulse response and convolution sum\\
7-8 & DT-LTI systems: difference equation representation and interconnections\\
9 & Forward z-transform: poles and zeros, region of convergence\\
10 & Inverse z-transform: partial fraction expansion, system properties\\
11 & Test 2\\
11-12 & Fourier Series (FS): Trigonometric, compact trigonometric, and exponential forms\\
13 & Fourier Transform (FT): Magnitude and angle, frequency content\\
14 & Discrete Time Fourier Transform (DTFT): Connection to FT and z-transform\\
15 & Final\\
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