EGR-2222L - Elements of Discrete Signal Analysis Lab* (1)

Co-requisite: EGR-2222

This lab course provides an introduction to signal processing and filtering techniques. Students will explore signal creation, manipulation, and decomposition to analyze linear time-invariant systems. The course covers Fourier analysis techniques for frequency domain analysis and transitioning back to the time domain using inverse Fourier Transform. Practical applications such as designing lowpass, highpass, bandpass and bandstop filters and analyzing filtered signals are also included. The course extends to discrete-time signals and systems, focusing on constructing, shifting, and convolving discrete signals. Advanced topics such as amplitude, frequency, and phase modulation/demodulation are covered, equipping students with the skills necessary for practical signal processing and analysis.

List Course Outcomes (consistent for all sections)
CO1 - Analyze various signals and systems using Fourier analysis techniques to determine their frequency domain characteristics.

CO2 - Design signal filters (high-pass, low-pass, band-pass, and band-stop) to meet specific signal processing requirements.

CO3 - Evaluate the performance of filters by analyzing the filtered signals using time and frequency domain methods.

CO4 - Synthesize complex signal processing techniques to solve practical problems in engineering and technology.

CO5 - Work cooperatively as part of a team to analyze signals and communicate results.

Course Fee: $70

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