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- continuous signals - What happens when we oversample? - Signal . . .
$\begingroup$ Also, oversampling is useful to reduce the burden on the analog front-end Oversampling makes it easier to extract information For example, to use a digital peak detector or zero-crossing detection you need 10+ samples per period No information is created, it is just easier to extract with oversampling $\endgroup$ –
- Increasing SNR and Dynamic Range using Oversampling
Oversampling is done when within a certain bandwidth, the quantization noise is higher than the system noise You don't want the quantization noise to be the limiting factor on your final SNR because you can usually do something about it (oversample)
- Oversampling and Aliasing - Signal Processing Stack Exchange
Let talk about oversampling, we just increase the sampling frequency more than Nyquist rate Then we have too much information Is there any chance to have aliasing? I mean in time domain, lets say I am sampling my signal (frequency is 70 Hz) by sampling frequency equals to 280 Hz (Nyquist*2) so, is there aliasing in frequency domain?
- What is the difference between undersampling and oversampling in analog . . .
To best explain undersampling and oversampling, it is worthwhile understanding the concept of "Nyquist Zones" first This was explained in detail recently at this post: Higher order harmonics during sampling From which I am copying some graphics for further explanation here
- signal analysis - How to choose correctly oversampling ratio? - Signal . . .
The oversampling factor cannot be too small I have "understood" from Mr Dan Boschen's explanation the following: for case, BT = 0 25 ovs=8 is sufficient for not introducing aliasing but also acceptable from a complexity point of view (not too large)
- Are oversampling and downsampling the same thing?
is oversampling, sampling a signal at a much higher samplingrate then normally required, so to reduce the sample-rate (and increase the resolution of the signal) afterwards is downsampling (decimation), lowering the samplerate of a signal, e g to reduce the CPU-requirements of signal-processing blocks later down the chain
- interpolation - Basic method for 2x oversampling? - Signal Processing . . .
I would like to know if the following method of 2x oversampling is correct: Interpolate: Take an original signal sampled at 44100Hz as input; Upsample by adding a zero after each original sample to get a signal twice as long; Filter the new signal using a low pass filter (cutoff of 44100Hz based on new sample rate of 88200Hz) Use new signal:
- filters - Why would I leave a signal oversampled? - Signal Processing . . .
Low latency: for example control loops require very low latency Oversampling gets data in and out faster, so that reduces latency Also any lowpass filtering introduces group delay The sharper the lowpass filter, the higher the group delay
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