Title: ECET 350 Course Marvelous Learning - snaptutorial.com
1ECET 350 Course Marvelous Learning -
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2ECET 350 Course Marvelous Learning -
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ECET 350 Week 2 Homework For more classes
visit www.snaptutorial.com Chapter 2, page
58-62, problems 2a, 2b, 2c, 7, 9a, 9b, 9c, 10a,
10b, 16a, 16b, 16c, 19, 21, 22a, 22b, 22c, 24.
3ECET 350 Course Marvelous Learning -
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ECET 350 Week 2 iLab Signal Sampling and
Reconstruction For more classes
visit www.snaptutorial.com Objectives Use
principles of signal sampling and reconstruction
to construct an electronic circuit to sample,
hold, and reconstruct the signal. Apply the
antialiasing and anti-imaging filters to perform
proper simulation of signal sampling and
reconstruction.
4ECET 350 Course Marvelous Learning -
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ECET 350 Week 3 Homework For more classes
visit www.snaptutorial.com Chapter 3 Homework
Problems 3a, 3b, 3c, 5a, 5c, 5e, 7a, 9
5ECET 350 Course Marvelous Learning -
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ECET 350 Week 3 iLab Moving Average Digital
Filters For more classes visit www.snaptutorial.
com Objectives Design, test, and implement
antialiasing and anti-imaging filters to be used
with a real-time, digital filtering system using
a microcontroller, ADC, and DAC. Implement, test,
and analyze the performance of a moving average,
low-pass filter in conjunction with the filters
and real-time system from the first objective.
6ECET 350 Course Marvelous Learning -
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ECET 350 Week 4 Homework For more classes
visit www.snaptutorial.com Chapter 9 Finite
Impulse Response Filters, pp. 314353 Problems
2a, 2b, 2c, 2d, 3a, 3b, 8a, 8b, 8c, 8d, 8e, 8f,
10b, 11b, 12b, 12d, 14a, 14b
7ECET 350 Course Marvelous Learning -
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ECET 350 Week 4 iLab Low-Pass Finite Impulse
Response Filter For more classes
visit www.snaptutorial.com Objectives Design,
implement, test, and analyze the performance of a
finite impulse response, low-pass filter in a
real-time application using the Tower
microcontroller board and ADC and DAC interface
board.
8ECET 350 Course Marvelous Learning -
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ECET 350 Week 5 Homework For more classes
visit www.snaptutorial.com Chapter 9 19.
Design a low pass FIR filter for a 10 kHz
sampling, with a pass band edge at 2 kHz, a stop
band edge at 3 kHz, and 20 dB stop band
attenuation. Find the impulse response and the
difference equation for the filter. 26. A high
pass filter with a pass band edge frequency of
5.5 kHz must be designed for a 16 kHz sampled
system. The stop band attenuation must be at
least 40 dB, and the transition width must be no
greater than 3.5 kHz. Write the difference
equation for the filter.
9ECET 350 Course Marvelous Learning -
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ECET 350 Week 5 iLab Impulse Response Band Pass
Filter For more classes visit www.snaptutorial.c
om Objectives Design a high-order, FIR band
pass using MATLAB and then to implement, test,
and analyze the real-time performance of that
filter on a target embedded system board. In
addition, introduce and compare the numerical
formats and processing requirements of digital
filters when implemented using floating point
versus fixed point mathematics on an embedded
system. Results As per the requirement I
designed a filter using MatLab that would meet
the required pass band.
10ECET 350 Course Marvelous Learning -
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ECET 350 Week 6 Homework For more classes
visit www.snaptutorial.com Chapter 10 Homework
Problems 12a, 12b
11ECET 350 Course Marvelous Learning -
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ECET 350 Week 6 iLab Infinite Impulse Response
Low-Pass Filter For more classes
visit www.snaptutorial.com Objectives Design a
Butterworth, low-pass filter, and then, using a
bilinear transformation operation, create a
digital IIR filter. The filter will then be
implemented and real-time performance tested and
analyzed on a target embedded system
board. Results Summarize your results in the
context of your objectives. Our graph was found
to be low pass for both tables Conclusions What
can you conclude about this lab based on your
results? As the frequency increases, the gain
also goes up.
12ECET 350 Course Marvelous Learning -
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ECET 350 Week 7 Homework For more classes
visit www.snaptutorial.com ECET 350 Practice
Problems 1. A first-order Butterworth filter with
a digital cut-off frequency of p/4 radians is
designed for a 2 kHz sampled system. The
pre-warped analog transfer function is 2. The
transfer function of an analog filter is H(s)
5000/(s 15000). If the sampling frequency is 20
kHz, the digital filter obtained using the
bilinear transformation is 3.IIR filters are
13ECET 350 Course Marvelous Learning -
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ECET 350 Week 7 iLab Fourier Analysis of Time
Domain Signals For more classes
visit www.snaptutorial.com Objective of the lab
experiment The objective of this experiment is
to perform Fourier analysis to obtain frequency
domain signature of signals and systems that are
measured or whose characteristics are known in
time domain. Towards this end, we shall learn how
to use Fourier transform to obtain Bode plots of
systems from time domain data passing through the
system. We shall also learn the equivalence of
convolution operation in time domain with
multiplication operation in frequency domain.
14ECET 350 Course Marvelous Learning -
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ECET 350 Week 7 Homework For more classes
visit www.snaptutorial.com ECET 350 Practice
Problems 1. A first-order Butterworth filter with
a digital cut-off frequency of p/4 radians is
designed for a 2 kHz sampled system. The
pre-warped analog transfer function is 2. The
transfer function of an analog filter is H(s)
5000/(s 15000). If the sampling frequency is 20
kHz, the digital filter obtained using the
bilinear transformation is
15ECET 350 Course Marvelous Learning -
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The Best way to predict the Future is to create
it.....To Best way....
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