Oversampling

IQ Sampling and Oversampling Differences? *Confused*

IQ Sampling and Oversampling Differences? *Confused*
  1. What is IQ sampling?
  2. Why do we use IQ sampling?
  3. Does oversampling cause aliasing?
  4. Is more oversampling better?

What is IQ sampling?

IQ sampling is the form of sampling that an SDR performs, as well as many digital receivers (and transmitters). It's a slightly more complex version of regular digital sampling (pun intended), so we will take it slow and with some practice the concept is sure to click!

Why do we use IQ sampling?

Quadrature signals, also called IQ signals, IQ data or IQ samples, are often used in RF applications. They form the basis of complex RF signal modulation and demodulation, both in hardware and in software, as well as in complex signal analysis.

Does oversampling cause aliasing?

1.1 What is Oversampling? As per Nyquist sampling theorem, a signal must be sampled at a rate greater than twice its maximum frequency component in order to ensure unambiguous data. If the Nyquist criterion is not met, aliasing will occur.

Is more oversampling better?

Choosing an oversampling rate 2x or more instructs the algorithm to upsample the incoming signal thereby temporarily raising the Nyquist frequency so there are fewer artifacts and reduced aliasing. Higher levels of oversampling results in less aliasing occurring in the audible range.

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