The Nyquist rate is defined as twice the bandwidth of the signal. Oversampling is capable of improving resolution and signal-to-noise ratio, and can be helpful in avoiding aliasing and phase distortion by relaxing anti-aliasing filter performance requirements.
- What is oversampling rate?
- What is the difference between sampling and Nyquist rate?
- What is meant by Nyquist rate?
- Is upsampling the same as oversampling?
What is oversampling rate?
Oversampling Rate – this is a resampling rate based on the original sampling rate. For example, if the original sample rate is 48 kHz, an oversampling rate of 2x infers a resampling or upsampling rate of 96 kHz. Upsampling – the process of resampling a signal at a higher rate than the incoming signal.
What is the difference between sampling and Nyquist rate?
The Nyquist rate is the minimal frequency at which you can sample a signal without any undersampling. It's double the highest frequency in your continous-time signal. Whereas the Nyquist frequency is half of the sampling rate.
What is meant by Nyquist rate?
In signal processing, the Nyquist rate, named after Harry Nyquist, is a value (in units of samples per second or hertz, Hz) equal to twice the highest frequency (bandwidth) of a given function or signal.
Is upsampling the same as oversampling?
Basics of Sampling - Oversampling and Upsampling
When practically implemented though, oversampling refers to using a higher sampling rate than needed to run the A/D or D/A converter thus increasing the rate of the signal. Upsampling is on the other hand a rate conversion from one rate to another arbitrary rate.