Milwaukee School of Engineering
Electrical Engineering and Computer Science Department
EE-3220 Final Exam Dr. Durant
Monday 22 February 2010
May use calculator, one-sided note sheet, provided note she
MILWAUKEE SCHOOL OF ENGINEERING
EE-3220
EE-3220 LABORATORY
Weeks 9 & 10
Real-time DSP Using the TMS320C6713 DSK System
Goal Design, verification, and implementation of DSP filtering that runs in real
MILWAUKEE SCHOOL OF ENGINEERING
EE-3220
EE-3220 LABORATORY
Week 7
Notch Filters and Interference Removal
Goal Design a multistage digital filter to remove interfering tones
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EE322021- Dr. Durant - Quiz 2
Winter 2013'14, Weel< 2
L
(3 points) Indicate whether each of the following systems is linear, time-invariant, and causal.
You do not need to show
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EE-322021- Dr. Durant - Quiz 5
Winter 2013-'14, Week 6
Given the difference equation yIn) = .cfw_l.S YIn-I) + 0.5 x(n)
1.
(l point) Take the z-transform of both sides of the eq
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EE322021 - Dr. Durant - Quiz 7
Winter 2013-'14, Week 9
1.
n
(2 points) Calculate w~, the 4: root of unity that represents the minimum magnitude negative
angle phase Sh;~ In
EE-3220-21 - Dr. Durant - Quiz 1
Winter 2013-'14, Week 1
1.
cfw_2 points Define "quantized."
2.
(4 points) Draw the basic DSP system block diagram including anti-alias and reconstruction
filters, an A
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EE322041 - Dr. Durant - Quiz 6
Winter 2013'14, Week 8
1.
(3 points) A voice signal sampled at 8 kHz is intermittently jammed with a loud, 1 kHz tone.
Begin the design an lIR
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EE-3220-21 - Dr. Durant - Quiz3
Winter 2013-'14, Week 3
,cfw_.,
1.
(4 points) Calculate the first 4 samples of the unit
response of yin) - 0.25 y(n-!) = x(n)
2x(n-l) + 4x(n-2).
MILWAUKEE SCHOOL OF ENGINEERING
EE-3220
EE-3220 LABORATORY
Week 5
Filter Design and Filter Response
Goal Explain the difference in system requirements between and IIR and FIR filters given identical
d
MILWAUKEE SCHOOL OF ENGINEERING
EE-3220
EE-3220 LABORATORY
Week 4
2-D Convolution and Image Processing
Goal Investigate the ability to process and enhance images by treating the image as a function of
MILWAUKEE SCHOOL OF ENGINEERING
EE-3220
EE-3220 LABORATORY
Week 3
Difference Equations, Impulse Response Functions, and Discrete Time Filters
Goal Investigate discrete filtering in MATLAB using differ
MILWAUKEE SCHOOL OF ENGINEERING
EE-3220
EE-3220 LABORATORY
Week 8
DFT Windowing
Goal Compare windows for DFT spectral analysis
Materials - Laptop computer with MATLAB
Overview:
The DFT assumes that a
MILWAUKEE SCHOOL OF ENGINEERING
EE-3220
EE-3220 LABORATORY
Week 6
Poles and Zeros Impact on the Transfer Function and Transient Response
Goal Investigate the impact of pole and zero locations on the s