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Main points of this exam paper are: Finite Impulse Response, General Equation, Digital Filter, Infinite Impulse Response, Fourier Convolution Theorem, Fourier Frequency, Nyquist Sampling Theorem
Typology: Exams
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Name (Last, First) Student ID number
College of Engineering Electrical Engineering and Computer Sciences Department
EECS 145M: Microcomputer Interfacing Laboratory
Spring Midterm #2 (Closed book- equation sheet provided- calculators OK) Monday, April 21, 2003
PROBLEM 1 (12 points)
1a (6 points) Write the general equation for the finite impulse response (FIR) digital filter
1b (6 points) Write the general equation for the infinite impulse response (IIR) digital filter
PROBLEM 2 (18 points) State the following theorems
2a (6 points) The Fourier convolution theorem
2b (6 points) The Fourier frequency convolution theorem
2c (6 points) The Nyquist sampling theorem
3c. (10 points) If a 500 Hz sinewave is sampled at 1024 Hz for 0.5 second, what does the FFT look like? Sketch the approximate relative magnitude of the FFT coefficients in the space below, and label the horizontal axis with both FFT coefficient index and frequency (Hz).
3d. (10 points) If a 524 Hz sinewave is sampled at 1024 Hz for 0.5 second, what does the FFT look like? Sketch the approximate relative magnitude of the FFT coefficients in the space below, and label the horizontal axis with both FFT coefficient index and frequency (Hz).
3e. (10 points) For each of the four FFT plots above, describe whether they were affected by aliasing or spectral leakage and if so, how they were affected and what you would do to fix the problem.
Problem 4 (20 points) A colleague wants to measure the voltage gain of an analog filter at frequencies f = 0 Hz, f 0 , 2 f 0 ,.. ., f max = N f 0. The filter gain is zero above f max. Your colleague connects a sinewave generator to the input of the filter, manually sets the frequency to each value, and uses an oscilloscope to record the input and output peak-to- peak voltages at each frequency. Observing this, you say that there is a much faster, automated way to do this using a pulse generator, periodic sampling, and Fourier analysis.
What procedure would you suggest? (Be sure to list all the steps required)