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Discrete-Time Signals and Systems
CE 3303
Erik Jonsson School of Engineering and Computer Science
Students learn the fundamentals of discrete-time signals and systems. Complex numbers, sampling and analog to digital signal conversion, digital signals and discrete-time linear time-invariant systems, linear difference equations, convolution, z-transform and transfer function, discrete-time Fourier transform, discrete Fourier transform, fast Fourier transform, digital images and two-dimensional discrete Fourier transform. Credit cannot be received for more than one of the following: BMEN 3302 or CE 3303 or EE 3302. Credit cannot be received for both CE 3303 and EE 4361. 3 credit hours.
Prerequisite: MATH 2420.
Offering Frequency: Each semester
Grades: 404
Median GPA: B-
Mean GPA: 2.686
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Discrete-Time Signals and Systems
CE 3303
Erik Jonsson School of Engineering and Computer Science
Students learn the fundamentals of discrete-time signals and systems. Complex numbers, sampling and analog to digital signal conversion, digital signals and discrete-time linear time-invariant systems, linear difference equations, convolution, z-transform and transfer function, discrete-time Fourier transform, discrete Fourier transform, fast Fourier transform, digital images and two-dimensional discrete Fourier transform. Credit cannot be received for more than one of the following: BMEN 3302 or CE 3303 or EE 3302. Credit cannot be received for both CE 3303 and EE 4361. 3 credit hours.
Prerequisite: MATH 2420.
Offering Frequency: Each semester
Grades: 404
Median GPA: B-
Mean GPA: 2.686
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