Difference between revisions of "Dither"

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[http://en.wikipedia.org/wiki/Dither For more detailed information click here]
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[http://en.wikipedia.org/wiki/Dither For more detailed information on Dither click here]
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[http://en.wikipedia.org/wiki/Noise_shaping For more detailed information on Noise shaping click here]
  
 
[[Category:Audio conversion]]
 
[[Category:Audio conversion]]
 
[[Category:Terminology]]
 
[[Category:Terminology]]

Revision as of 16:16, 3 July 2012

Overview

The term dither is used to describe a special form of wide-band noise that is added to a digital audio signal after the wordlength is reduced. The purpose is to randomize quantization error of low level signals.

Basics

In digital audio, the original analog signal amplitude must be encoded in discrete "steps." The number of possible steps is determined by the wordlength. For high level (large amplitude) signals, the "step size" relative to the signal is small and the resulting quantization error caused by "rounding up or rounding down" to the closest discrete step is small.

At very low signal levels (small amplitude); the error becomes quite significant and the audible effect is a very audible distortion that increases in level as signal level decreases to the least significant bit (lsb) level. By randomizing the error; the distortion is eliminated and this results in a perceived increase in the dynamic range even though the addition of dither (noise) actually decreases the measurable dynamic range.

There are a number of different types of dither; with "Flat" and "Triangular" or "HPDF" (high pass probability density function)being common in digital audio. Both distribute the noise energy fairly evenly across the audible spectrum. An additional process known as Noise shaping can be applied to effectively "shift" the noise energy away from the midrange where the human ear is most sensitive to the bass and upper treble regions.

For additional information; also see:


For more detailed information on Dither click here For more detailed information on Noise shaping click here