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dvscrobe
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How do you determine the phase shift of an aliased signal?
My apologies, I think was referring to the perceived signal. Would there be a phase shift between that and the signal being sample?Baluncore said:You want to measure the phase relative to what ?
An alias appears at the wrong frequency because the frequency has been reflected or folded one or more times from the ends of the 2π wide spectrum.
dvscrobe said:My apologies, I think was referring to the perceived signal. Would there be a phase shift between that and the signal being sample?
I guess I am a little confused here. I am studying for my FE Exam. I am stuck on problem 8.1c and d. I get that the highest frequency being sample is 1500 and the sampling frequency of 2000 is not high enough. It needs to be at least 3000. That I am good with. It's the recovered signal that I am stuck. I think they are asking for the reconstructed signal. It wouldn't have a frequency of 1500 but something much lower at 500. I am lost on the phase shift here.sophiecentaur said:You can only really talk about phase between signals if they are the same frequency. If they are different frequencies then the phase will be changing by (2π times the frequency difference), every second.
Tell us the context of your question and we may find out what and how the actual misconception is arising.
If you alter the phase of the sampled signal then the phase of the reconstructed signal will be affected but relative to what?dvscrobe said:I am lost on the phase shift here.
Starting with phase is certainly the hard way round, imo but, as frequency is the time derivative of phase, it should be possible to go at it either way. The 'trig identities' allow you to find the passage of a phase change θ on the way through. I guess the examiners had their own priorities about this.Baluncore said:The answer to 9.1D does not require consideration of phase, it only requires computation of the alias frequency.
Either way, except that there is a constant of integration to be found.sophiecentaur said:Starting with phase is certainly the hard way round, imo but, as frequency is the time derivative of phase, it should be possible to go at it either way.
Phase conjugate? Negative phase? Wow, okay, that does seem to make sense. The problem wasn’t asking me for a specific angle but whether it was positive or negative as compared to the frequency being sampled. Thanks!Baluncore said:The answer to 9.1D does not require consideration of phase, it only requires computation of the alias frequency. But frequency and the phase can be solved most easily by considering that when you sample a signal you are performing a frequency mixing operation, and you can treat the sampling frequency, Fs, as a harmonic-rich local oscillator.
Frequencies f, in the range 0 to Fs/2 are analysed normally as being at 0 to Fs/2. Frequencies in the range Fs/2 to Fs map to an alias in the reversed range Fs/2 to 0. The alias frequency will be Falias = Fs – f, but the sampled signal will be the phase conjugate, which is effectively backwards in time, so can be seen as having negative phase.
The general equation of a harmonic mixer is; Falias = f – n·Fs;
https://en.wikipedia.org/wiki/Harmonic_mixer
https://en.wikipedia.org/wiki/Undersampling
Or just ignored on many occasions.Baluncore said:Either way, except that there is a constant of integration to be found.
Aliasing phase shift is a phenomenon that occurs when a signal is sampled at a frequency that is less than twice the highest frequency present in the signal. This results in the signal being distorted and the phase shifting, making it difficult to accurately analyze the signal.
Aliasing phase shift is determined by comparing the original signal to the sampled signal. The phase shift can be calculated by measuring the difference in phase between the two signals at a specific frequency.
Aliasing phase shift is caused by the sampling rate of the signal being too low. When the sampling rate is not high enough, the signal is not accurately represented, resulting in distortion and phase shifting.
Aliasing phase shift can be prevented by using a sampling rate that is at least twice the highest frequency present in the signal. This is known as the Nyquist sampling rate and ensures that the signal is accurately represented.
The consequences of aliasing phase shift include inaccurate analysis of the signal, which can lead to incorrect conclusions and decisions. It can also result in errors in digital signal processing and cause problems in various applications, such as audio and video processing.