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\newcommand\semester{Fall 2023}
\newcommand\rsemester{202420}
\newcommand\courseNum{ECE 3225}
\newcommand\courseName{Signal Processing}
\newcommand\courseCoordinator{Bijan Mobasseri}
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\newcommand\textBookTitle{Signals and Systems: Theory and Applications}
\newcommand\textBookAuth{Fawwaz T. Ulaby Andrew E. Yagle}
\newcommand\textBookPub{Michigan Publishing Services- Free download}
\newcommand\textBookYr{2018}
\newcommand\textBookISBN{ISBN 978-1-60785-486-9}
\newcommand\supplMaterials{\\
1. Sign in or create an account at learn.zybooks.com\\
2. Enter zyBook code: VILLANOVAECE3225MobasseriFall2023\\
3. Subscribe\\
Cost is \$64 for the semester.}
\newcommand\refPapers{References go here, if specified}
\newcommand\textBookMisc{Special notes on textbook(s) go here, if specified}
\newcommand\catalogDesc{Signal representation, Fourier series, Fourier transform, discrete-time systems, convolution, discrete-time Fourier transform, Z-transform. Practicum includes MATLAB exercises on transform properties and their use in modulation and filtering. Three lecture hours per week.}
\newcommand\preReqs{ECE 2030  and ECE 2409  and MAT 2705}
\newcommand\coReqs{ECE 3230}
\newcommand\coreRequirement{Required for BSEE and BSCpE}
\newcommand\courseExpectation{Upon successful completion of this course, students will be able to,
\begin{enumerate}
\item Identify signal types; continuous, discrete, analog, digital, power and energy signals, random and deterministic.
\item Identify linear from nonlinear systems, time-varying from time-invariant systems.
\item Define impulse response and establish relationship between system’s input and output.
\item Understand the convolution integral and the need for it.
\item Examine signals in the frequency domain using Fourier analysis.
\item Understand the differences between Fourier Series and Fourier Transform.
\item Identify applications that need Fourier analysis.
\item Convert a continuous-time signal to discrete-time equivalent.
\item Understand the limitations of continuous to discrete-time conversion.
\item Use signal processing tools to solve problems in communications, radar, biomedical.
\end{enumerate}
}
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\newcommand\covTopics{\item Signal definition, representation and transformation
\item Phasor representation of signals as complex vectors
\item Power and energy
\item Linear Time-Invariant systems, impulse response, convolution, system I/O 
\item Continuous and discrete Fourier analysis, concept of frequency frequency, Fourier series and transform
\item Discrete Fourier transform(DFT)
\item Discrete-time LTI systems, discrete-time convolution
\item z-Transform
\item Applications in radar, sonar, communications, biomedical
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\caption*{Tentative Schedule for \textbf{All Sections}} \vspace{0.05in}
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\toprule
\large \textbf{Week} & \large \textbf{Topics} & \large \textbf{Reading}\\
\midrule \midrule
8/20/23 & Signal representation, unit step, impulse, ramp, rectangle pulse & Chapter 1\\
8/27/23 & Waveform properties, periodicity, causality & Chapter 1\\
9/3/23 & Signal transformation; delay, scale, stretch compress & Chapter 1\\
9/10/23 & Complex exponentials, signals as vectors & Chapter 1\\
9/17/23 & Linear, Time-Invariant Systems-definition and properties properties & Chapter 2\\
9/24/23 & Impulse, step and ramp response & Chapter 2\\
10/1/23 & Convolution integral and system I/O & Chapter 2\\
10/2/23 & TEST REVIEW & REVIEW\\
10/4/23 & TEST 1 & -\\
10/8-10/15 & FALL BREAK & BREAK\\
10/15/23 & Concept of frequency and Fourier analysis & Chapter 5\\
10/22/23 & Signal representation as a Fourier series & Chapter 5\\
10/29/23 & Fourier transform and properties & Chapter 5\\
11/8/23 & TEST 2 & -\\
11/12/23 & Discrete Signal Notation and Properties & Chapter 7\\
11/19/23 & THANKSGIVING & Chapter 7\\
11/26/23 & Discrete convolution & EASTER\\
12/3/23 & DTFT/DFT, concept of discrete frequency & Chapter 7\\
12/10/23 & z-Transform & Chapter 7\\
12/10/23 & Last Day of Class & Chapter 7\\
12/11/23 & READING DAY & END\\
 &  & \\
 &  & \\
 &  & \\
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