HW 07: Difference between revisions
(New page: ===Question 1=== Show that a periodic signal, <math>x(t)=x(t+T)\,\!</math>, always has a Fourier transofmr which is a series of impulse functions spaced out eveery 1/T Hz. What do the area...) |
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===Question 1=== |
===Question 1=== |
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Show that a periodic signal, <math>x(t)=x(t+T)\,\!</math>, always has a Fourier |
Show that a periodic signal, <math>x(t)=x(t+T)\,\!</math>, always has a Fourier transform which is a series of impulse functions spaced out every 1/T Hz. What do the areas (both magnitude and phase) under each impulse function represent? |
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===Answer 1=== |
===Answer 1=== |
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===Question 2=== |
===Question 2=== |
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A few summers ago I found myself on Guam trying to figure out which bends in the transmission line leading to the antennas were causing the msot reflections. Ideally, I needed a time domain reflectometer (TDR), which excites the tranmission line with something close to an impulse funciton and measures the signals reflected back as a function of time using a high speed oscilloscope. For example, if there is a big bend at 150 meters from the end of the line the instrument is connected to, there will be a blip on the oscilloscope 1.0 microseconds after the incident pulse was applied. (It takes 0.5 microseconds for the pulse to travel down to the bend, where part of it is reflected back toward the soruce, and 0.5 microseconds for the reflection to travel back). |
A few summers ago I found myself on Guam trying to figure out which bends in the transmission line leading to the antennas were causing the msot reflections. Ideally, I needed a time domain reflectometer (TDR), which excites the tranmission line with something close to an impulse funciton and measures the signals reflected back as a function of time using a high speed oscilloscope. For example, if there is a big bend at 150 meters from the end of the line the instrument is connected to, there will be a blip on the oscilloscope 1.0 microseconds after the incident pulse was applied. (It takes 0.5 microseconds for the pulse to travel down to the bend, where part of it is reflected back toward the soruce, and 0.5 microseconds for the reflection to travel back). |
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Unfortunately I didn't have a TDR available. However, there was a very fancy network analyzer that would apply a sinusoidal wave, \sin(2\pi\,f\,t), to the transmission line and measure the steady-state voltage reflected back (both magnitude and phase). Furthermore, the network analyzer would make this measurement as a function of frequency for practically any frequency range you could dream up. |
Unfortunately I didn't have a TDR available. However, there was a very fancy network analyzer that would apply a sinusoidal wave, \sin(2\pi\,f\,t), to the transmission line and measure the steady-state voltage reflected back (both magnitude and phase). Furthermore, the network analyzer would make this measurement as a function of frequency for practically any frequency range you could dream up. If this reflection as a function of frequncy was measured as <math>R(f)\left(\sin(2\pi\,f\,t+\psi(f)\right)</math> by the network analyzer, write an expression for the function that would be seen on the TDR for the same transmission line. Hint: This is kind of like our "favorite game" |
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===Answer 2=== |
===Answer 2=== |
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===Question 3=== |
===Question 3=== |
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By investigating its impulse response, argue that an ideal "brick wall" low pass filter having <math>H(f) = [u(f+f_0)-u(f-f_0)]\,e^{-j\,2\,\pi\,f\,t_0}</math> is always going to be an unrealizeable filter, meaing that we |
By investigating its impulse response, argue that an ideal "brick wall" low pass filter having <math>H(f) = [u(f+f_0)-u(f-f_0)]\,e^{-j\,2\,\pi\,f\,t_0}</math> is always going to be an unrealizeable filter, meaing that we won't ever be able to build a system with this ''exact'' response. |
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===Answer 3=== |
===Answer 3=== |
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Revision as of 16:53, 3 December 2008
Question 1
Show that a periodic signal, , always has a Fourier transform which is a series of impulse functions spaced out every 1/T Hz. What do the areas (both magnitude and phase) under each impulse function represent?
Answer 1
Question 2
A few summers ago I found myself on Guam trying to figure out which bends in the transmission line leading to the antennas were causing the msot reflections. Ideally, I needed a time domain reflectometer (TDR), which excites the tranmission line with something close to an impulse funciton and measures the signals reflected back as a function of time using a high speed oscilloscope. For example, if there is a big bend at 150 meters from the end of the line the instrument is connected to, there will be a blip on the oscilloscope 1.0 microseconds after the incident pulse was applied. (It takes 0.5 microseconds for the pulse to travel down to the bend, where part of it is reflected back toward the soruce, and 0.5 microseconds for the reflection to travel back).
Unfortunately I didn't have a TDR available. However, there was a very fancy network analyzer that would apply a sinusoidal wave, \sin(2\pi\,f\,t), to the transmission line and measure the steady-state voltage reflected back (both magnitude and phase). Furthermore, the network analyzer would make this measurement as a function of frequency for practically any frequency range you could dream up. If this reflection as a function of frequncy was measured as by the network analyzer, write an expression for the function that would be seen on the TDR for the same transmission line. Hint: This is kind of like our "favorite game"
Answer 2
Question 3
By investigating its impulse response, argue that an ideal "brick wall" low pass filter having is always going to be an unrealizeable filter, meaing that we won't ever be able to build a system with this exact response.
![{\displaystyle H(f)=[u(f+f_{0})-u(f-f_{0})]\,e^{-j\,2\,\pi \,f\,t_{0}}}](https://wikimedia.org/api/rest_v1/media/math/render/svg/2bac81a70b49ae8f1b816b5ceab0239670aee8ce)