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Anti-aliasing filter - Wikipedia
https://en.wikipedia.org/wiki/Anti-aliasing_filter#:~:text=An%20anti-aliasing%20filter%20%28%20AAF%29%20is%20a%20filter,Nyquist%E2%80%93Shannon%20sampling%20theorem%20over%20the%20band%20of%20interest.
Antialiasing Filter - an overview | ScienceDirect Topics
https://www.sciencedirect.com/topics/engineering/antialiasing-filter
Anti-aliasing filters are applied so that when a set of sample points is inspected, the input frequency components that are present are uniquely related to the input data. Otherwise, there are many possible input frequencies (the aliases), all of which can produce the same data points.
Anti-Aliasing Filters and Their Usage Explained - NI
https://www.ni.com/en-us/innovations/white-papers/18/anti-aliasing-filters-and-their-usage-explained.html
The anti-aliasing would have a cut-off frequency of 20 KHz, but since this is not an ideal filter usually the sampling frequency used goes from 44.1 KHz to 96 KHz, allowing a transition band of at least 2 KHz. An illustration of an anti-aliasing filter being applied to a raw signal is shown below. Say that you want to sample f1 and f2 only.
How do Anti-Aliasing-Filters in audio signal processing ...
https://dsp.stackexchange.com/questions/55096/how-do-anti-aliasing-filters-in-audio-signal-processing-work
To eliminate this you need a lowpass filter with cutoff of 20 kHz at 192 kHz sample rate and sufficient attenuation at 24 kHz. Finally you just down sample the result by factor of three by simply throwing away every second and third sample. This works without aliasing, since the lowpass filter has already eliminated all content that would alias.
Which anti aliasing filter algorithm for efficient audio ...
https://dsp.stackexchange.com/questions/23416/which-anti-aliasing-filter-algorithm-for-efficient-audio-resampling
I'm building a real-time audio resampler (think pitch bend) that needs to have a several different performance vs quality configuration options. I understand that I'll need to apply a low-pass filter before resampling in order to avoid aliasing. The requirements for the first filter are this: very efficient; better than nothing
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