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Main points of this past exam are: Frequency, Periodically Sampling, Arbitrary Waveform, Aliasing, Periodically Sampling, Computing, Long-Range Effects
Typology: Exams
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1.1 Frequency aliasing is caused by sampling at a frequency f s
that is less than twice the highest
frequency f max in the waveform.
It may be avoided by using an analog low-pass filter to eliminate frequencies above f s
[4 points off for increasing the sampling frequency. When sampling an arbitrary waveform
you don’t know the maximum frequency.]
1.2 Spectral leakage is caused when frequency components are not sampled for a whole number
of cycles, which results in a discontinuity between the last sample and the “next sample”,
which is also the first sample.
It is avoided by multiplying the sampled values by a windowing function that has zero value
and zero slope at the ends of the sampling window.
[3 points off for a solution that samples for a longer time- this does not eliminate the
discontinuity and long-range spectral leakage will still occur]
[3 points off if the only answer is to sample for an integer number of cycles- nothing is
known about the frequency components present]
2.1 Filter gain >0.99 for frequencies <78,400 Hz
2.2 Filter gain <0.01 for frequencies >177,800 Hz
2.3 S = M ∆t = M/f s
16
18
Hz = 0.25 s
0
corresponds to 0 Hz (d.c.); H 1
corresponds to 1/S = 4 Hz
2.5 The FFT produces coefficients H n
, where n = 0 to M–1. Therefore, the coefficient with the
highest index is H M- 1 or H 65, , which corresponds to 4 Hz.
[2 points off for H M
and 0 Hz] [3 points off for H M
and 2
18
Hz]
2.6 The FFT coefficient that corresponds to the highest frequency is H M/
or H 32,
. The
corresponding frequency is (M/2)/S = 131,072 Hz
2.7 For a 4,000 Hz sinewave, the primary FFT coefficients are H 1000
and H M- 1000
. Additional
neighboring coefficients H 999
1001
M- 999
, and H M- 1001
are non-zero (actually half the value
of the primary coefficients) due to the side lobes produced by the Hann window.
[2 points off for omitting side lobes] [2 points off for omitting H M- 999
M- 1000
, and H M- 1001
2.8 For a 4,000 Hz symmetric square wave, a sequence of harmonics will appear at odd
multiples of the 4,000 Hz fundamental. So H k and H M-k would be non-zero, and the
Hann side lobes would be at H k1000- 1
k1000+
M-k1000- 1 , and H M-k1000+
[1 point off for omitting side lobes] [3 points off for omitting harmonics]
2.9 For a 4,002 Hz sinewave, H 1000
1001
M- 1000
, and H M- 1001
would be non-zero and of equal
magnitude, and the Hann side lobes would appear at H 999
1002
M- 999
and H M- 1001
[1 point off for omitting side lobes] [2 points off for omitting H M- 1000
and H M- 1001
[4 points off for stating that all coefficients are non-zero]
2.10 The primary 4,000 Hz sinewave would produce non-zero values at H 999
1000
, and H 1001
second smaller sinewave of slightly higher frequency 4,000 + 4m Hz would produce non-
zero values at H 1000+m- 1
1000+m , and H 1000+m+ (there are also complex conjugate
coefficients at H M- 1000 , etc.). For the smaller sinewave to appear as a separate peak, there
must be a valley between the coefficient H 1001
and the coefficient at H 1000+m
, which requires
1000 + m > 1002, or m >2. The smallest value of m we can have is 3, which corresponds to
a frequency 12 Hz above 4,000 Hz.
[4 points off for 4 Hz] [3 points off for 8 Hz] [both 12 Hz and 16 Hz were accepted]
1000 1002 1004
2.11 A sinewave of frequency 4M – 84,000 Hz = 178,144 Hz will produce non-zero coefficients
at H 20999
21000
21001
M- 20999
M- 21000 , and H M- 21001
16
A sinewave of frequency 84,000 Hz will produce non-zero coefficients at exactly the same
frequency indexes. This is an example of how a higher frequency can alias to a lower
frequency. However, the 84,000 Hz sinewave will be only slightly reduced by the anti-
aliasing filter (gain >0.90, while the 178,144 Hz sinewave will be greatly reduced (gain
≈0.01). So the coefficients will be about 100 times smaller for the 178,144 Hz sinewave.
[3 points off for not stating the non-zero coefficients]
[1 point off for omitting H 20999
21001
M- 20999 , and H M- 21001
[3 points off for stating that the magnitudes are the same for sampling 178,144 and 84,
Hz]
2.12 To reduce the answer to 2.10 by a factor of two (i.e. to 6 Hz), sample for twice as long.
[2 points off for doubling the sampling frequency, which increases the number of Fourier
coefficients but not the frequency spacing ∆f = 1/S]
3.1 The Integral Fourier Transform will be zero except for integer multiples of the 10 kHz repeat
frequency. The relative Fourier Amplitudes will depend on the waveform.
The lowest (1st) harmonic will appear at 10 kHz
The highest (1000th) harmonic will appear at 10 MHz
3.2 M = 2000 samples at f S = 20 MHz correspond to a sampling window S = M/f S = 100μs,
which is one cycle of the waveform.
The Discrete Fourier Transform will have harmonics k = 1 to 1000 at H 1 to H 1000 and their
complex conjugates at H 1001 to H 1999
The first harmonic is H 1 at 10 kHz, which is one cycle per 100 μs
The highest harmonic H 1000 at 10 MHz
3.3 Viewing this problem in the time domain the waveform has a period of 1/10kHz = 100μs.
The sampling period of 1/9.995kHz = 100.05μs. Each sample will be progressively later by