A question in my electric engineering class

AI Thread Summary
The discussion centers on challenges in recovering the function x(t) from a squared signal in an electric engineering exam question. It highlights that the sampling rate must exceed twice the maximum frequency (2*w_m) to avoid aliasing, but uncertainties about the Linear Time-Invariant (LTI) system complicate predictions for the sampling rate. Participants seek clarification on sampling rates and aliasing, indicating a need for deeper understanding in these areas. The conversation emphasizes the importance of proper sampling techniques in signal processing. Overall, the thread reflects common difficulties faced in understanding signal recovery and sampling theory.
kolycholy
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it's a question given in the sample exam

I think for the first question, there is not much we can do to recover the function x(t), because it gets squared ...

for the second part, sampling rate needs to be greater than 2*wm
but then we don't really know what;s going on with the LTI (right before the input gets sampled), so I'm not sure if we can successfully predict the sampling rate for the second part either

any suggestions?
 
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Thread moved to the homework forums.

kolycholy, what can you tell us about sampling rates and aliasing?

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