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Apr 24, 2024
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ET 3060 - Signals, Circuits, and Systems II4 lecture hours 0 lab hours 4 credits
Course Description
Electronic signals and noise, especially in the frequency domain, and the corresponding system responses are examined in this course. Topics include the Fourier transform, the exponential Fourier series, and spectral densities of signals including noise. A significant portion of this course examines digital signals, sampling, A/D and D/A converters, and an introduction to digital signal processing using the Z-transform. Practical applications are discussed throughout the course. (prereq: ET 3001 )
Course Learning Outcomes
Upon successful completion of this course, the student will be able to:
- Determine the Fourier transform of deterministic engineering signals.
- Interpret the spectral density function of a signal
- Calculate thermal noise power
- Make calculations on sampling rate, aliasing error and quantizing error associated with analog signal processing in digital systems
- Determine the z-transform of discrete-time signals
- Determine the frequency response of simple digital filters
- Determine the spectrum of a discrete-time signal using the Discrete Fourier Transform
Prerequisites by Topic
- Fourier series
- Transfer function, frequency response, Bode plots
- Calculus
Course Topics
- The Fourier transform and its application in system analysis (3 hours)
- Spectral densities of signals including noise (2 hours)
- Signal sampling, quantization, signal recovery, aliasing (5 hours)
- The Discrete Fourier Transform (DFT) and example signal spectra (3 hours)
- Discrete-time signals and systems, digital FIR filters, example filter responses (4 hours)
- The z-transform and its application in system analysis, digital filter transfer functions (7 hours)
- Examinations and homework sessions (13 hours)
- The exponential Fourier series (4 hours)
Coordinator
Edward Chandler
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