Sketching Fourier Transform of Lowpass Filter with Time Delay and Bandwidth

AI Thread Summary
The discussion revolves around sketching the Fourier transform of a unity-gain ideal lowpass filter with a bandwidth of 50 Hz and a time delay of 5 ms. Participants clarify that the magnitude of the filter's response is determined by its bandwidth, while the time delay introduces a complex exponential factor that affects the phase but not the magnitude. The phase response is expected to slope from -90 degrees to 0 degrees, with a notable intersection at -45 degrees and 20 Hz. Additionally, the relationship between convolution in the time domain and multiplication in the frequency domain is emphasized as a key concept. Overall, the impact of time delay on the phase response is a central focus of the discussion.
satchmo05
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Homework Statement


Let h(t) be impulse response of unity-gain ideal lowpass filter with bandwidth of 50[Hz] and a time delay of 5[ms]. Sketch magnitude and phase of Fourier transform of h(t).

The Attempt at a Solution


I know that the magnitude2 of H(f) is total power gain, so perhaps by taking the square of this expression might get me the magnitude of simply H(f). However, I am not exactly sure how to take the information given to convert into an expression I can actually deal with.

Any help would be most appreciated. Thanks!
 
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How does low pass filter frequency response looks like?

Now, you are making a shift in time domain, how would this impact in frequency domain?

In impulse response input is δ(t), so output will be: y(t) = δ(t) conv h(t). What would this equal in frequency domain? Y(s) = ?
 
rootX,

Thank you for your response! I believe I understand the magnitude of the response. The magnitude is simply a function of the lowpass filter itself, drawing the bandwidth as given where the function's bandwidth breaks at the corner frequency (-3db). I do not believe the time delay affects a low pass filter. However, the phase graph may and that is where I am having trouble now. I believe the phase plot will look like a downward slope from -90 degrees to 0 degrees, where -45 degrees and 20[Hz] intersect.

If I introduce a time delay in the continuous time domain (h(t)), that would add a complex exponential factor in front of the H(f). Does this only change the order of magnitude of the two magnitude and phase plots?

If you convolve in the time domain, you multiply in the frequency domain. What did you mean by that statement? Thanks again for your help.
 

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