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Say I perform FFT on some data. If my sampling rate is not twice the highest frequency, I will almost assuredly get aliasing.

This limit on sampling we call the Nyquist limit. Now on the flip side, if my integration window is not greater than the wavelength of the lowest frequency component, it is not guaranteed that I will be able to get a good readout of the lowest frequency component. Are there technical names to describe low frequency masking and the sampling limit imposed here?

Say I perform FFT on some data. If the underlying (measurement) sampling rate is not twice the highest frequency, I will almost assuredly get aliasing.

This limit on sampling we call the Nyquist limit. Now on the flip side, if the integration underlying measurment window is not greater than the wavelength of the lowest frequency component, it is not guaranteed that I will be able to get a good readout of the lowest frequency component. Are there technical names to describe low frequency masking and the sampling limit imposed here?

Edit: I'm interested in terms descriptive of underlying measurment limits as opposed to transformation.

Say I perform FFT on some data. If my sampling rate is not twice the highest frequency, I will almost assuredly get aliasing. This limit on sampling we call the Nyquist limit. Now on the flip side, if my integration window is not greater than the wavelength of the lowest frequency component, it is not guaranteed that I will be able to get a good readout of the lowest frequency component. Are there technical names to describe low frequency masking and the sampling limit imposed here?

Say I perform FFT on some data. If my sampling rate is not twice the highest frequency, I will almost assuredly get aliasing.

This limit on sampling we call the Nyquist limit. Now on the flip side, if my integration window is not greater than the wavelength of the lowest frequency component, it is not guaranteed that I will be able to get a good readout of the lowest frequency component. Are there technical names to describe low frequency masking and the sampling limit imposed here?

Say I FFT some data. If my sampling rate is not twice the highest frequency, I will almost assuredly get aliasing. This limit on sampling we call the Nyquist limit. Now on the flip side, if my integration window is not greater than the wavelength of the lowest frequency component, it is not guarenteed that I will be able to get a good readout of the lowest frequency component. Are there technical names to describe low frequency masking and the sampling limit imposed here?

Say I perform FFT on some data. If my sampling rate is not twice the highest frequency, I will almost assuredly get aliasing. This limit on sampling we call the Nyquist limit. Now on the flip side, if my integration window is not greater than the wavelength of the lowest frequency component, it is not guaranteed that I will be able to get a good readout of the lowest frequency component. Are there technical names to describe low frequency masking and the sampling limit imposed here?