Howtosignalprocessing
- How does oversampling reduce noise?
- What is oversampling and noise shaping?
- What is the purpose of upsampling?
- Is oversampling the same as upsampling?
How does oversampling reduce noise?
Oversampling is a cost-effective process of sampling the input signal at a much higher rate than the Nyquist frequency to increase the SNR and resolution (ENOB) that also relaxes the requirements on the antialiasing filter.
What is oversampling and noise shaping?
Oversampling means that the sampling rate is increased to several times what is required just to avoid aliasing. Shortly, we will see why this helps improving the resolution. Noise shaping means that the quantization noise is moved away from the signal band that we are interested in.
What is the purpose of upsampling?
The purpose of Upsampling is to manipulate a signal in order to artificially increase the sampling rate.
Is oversampling the same as upsampling?
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.
