Finding the aliased version of a signal

  • Thread starter Thread starter Manchot
  • Start date Start date
  • Tags Tags
    Signal
AI Thread Summary
To find the aliased version of a signal at a specific sampling rate, one must consider the Nyquist theorem, which states that signals must be sampled at least twice their highest frequency to avoid aliasing. In the case of the time-varying voltage V=sin(1/t) sampled at 100 Hz, the signal's initial infinite frequency will lead to aliasing as the sampling rate cannot capture the rapid changes. Interpolating the data during the initial moments of sampling can be challenging due to the signal's unpredictable behavior. The concept of "folding back into the Nyquist band" refers to how frequencies above half the sampling rate appear as lower frequencies in the sampled data. Understanding these principles is crucial for effectively analyzing and reconstructing aliased signals.
Manchot
Messages
470
Reaction score
5
Hey everyone. I've got a question pertaining to aliased signals. Is there a general method for finding what signal a function would alias to at a certain sampling rate? For example, suppose that you have a time-varying voltage V=sin(1/t), and you take data at a rate of 100 Hz, starting from when t=0. I picked this function because the initial frequency is infinite, and subsequently decreases.Therefore, what should happen is that at some point in time, whatever doing the sampling should eventually "get" the correct function. However, I'm more interested how one would interpolate the data in those first few moments when the signal does all kinds of crazy stuff. Is it possible to interpolate a function which "fits" those data points? Thanks!
 
Last edited:
Engineering news on Phys.org
If you perform an FFT of the signal, the power that really exists in bins past half the sampling rate will appear folded back into the Nyquist band.

- Warren
 
Could you elaborate on that? I'm only a first year EE student, and I'm not clear on what you mean when you say "folded back into the Nyquist band."
 
Thread 'Weird near-field phenomenon I get in my EM simulation'
I recently made a basic simulation of wire antennas and I am not sure if the near field in my simulation is modeled correctly. One of the things that worry me is the fact that sometimes I see in my simulation "movements" in the near field that seems to be faster than the speed of wave propagation I defined (the speed of light in the simulation). Specifically I see "nodes" of low amplitude in the E field that are quickly "emitted" from the antenna and then slow down as they approach the far...
Hello dear reader, a brief introduction: Some 4 years ago someone started developing health related issues, apparently due to exposure to RF & ELF related frequencies and/or fields (Magnetic). This is currently becoming known as EHS. (Electromagnetic hypersensitivity is a claimed sensitivity to electromagnetic fields, to which adverse symptoms are attributed.) She experiences a deep burning sensation throughout her entire body, leaving her in pain and exhausted after a pulse has occurred...
Back
Top