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- Q2133535 subject Q7013138.
- Q2133535 subject Q7439800.
- Q2133535 subject Q9665932.
- Q2133535 abstract "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. It does this by altering the spectral shape of the error that is introduced by dithering and quantization; such that the noise power is at a lower level in frequency bands at which noise is considered to be more undesirable and at a correspondingly higher level in bands where it is considered to be less undesirable. A popular noise shaping algorithm used in image processing is known as ‘Floyd Steinberg dithering’; and many noise shaping algorithms used in audio processing are based on an ‘Absolute threshold of hearing’ model.".
- Q2133535 thumbnail Quantization_nodither_noshaping_spectrum.png?width=300.
- Q2133535 wikiPageExternalLink AD6677.pdf.
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- Q2133535 wikiPageWikiLink Q7013138.
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- Q2133535 wikiPageWikiLink Q7439800.
- Q2133535 wikiPageWikiLink Q918242.
- Q2133535 wikiPageWikiLink Q9665932.
- Q2133535 comment "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.".
- Q2133535 label "Noise shaping".
- Q2133535 depiction Quantization_nodither_noshaping_spectrum.png.