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What is noise shaping dither?
Noise shaping is the combination of dithering and equalization, used to both cover quantization noise, and push any noise created by dithering into less perceivable areas of the frequency spectrum. With the use of noise shaping, dithering can be applied, while theoretically reducing the overall perceivable noise floor.
What is Nyquist oversampling?
In signal processing, oversampling is the process of sampling a signal at a sampling frequency significantly higher than the Nyquist rate. The Nyquist rate is defined as twice the bandwidth of the signal.
What is meant by upsampling?
Upsampling is the process of inserting zero-valued samples between original samples to increase the sampling rate. (This is sometimes called “zero-stuffing”.) The result is as if you had just originally sampled your signal at the higher rate.
What is oversampling ratio?
The oversampling ratio, called M, is a ratio of the clock frequency to the Nyquist frequency of the input signal. This oversampling ratio can vary from 8 to 256. • The resolution of the oversampled converter is proportional to the oversampled ratio.
When should you dither audio?
The simplest way to look at it is that you should always dither when going down in bit-depth. So, if you’re going from 24-bit to 16-bit, you should dither. If you’re going from 32-bit fixed point (not floating point) to 24- or 16-bit, you should dither.
What is adaptive noise shaping?
Noise shaping is a technique typically used in digital audio, image, and video processing, usually in combination with dithering, as part of the process of quantization or bit-depth reduction of a digital signal. Its purpose is to increase the apparent signal-to-noise ratio of the resultant signal.
What is the purpose of upsampling?
The purpose of Upsampling is to manipulate a signal in order to artificially increase the sampling rate.