noise shaping


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noise shaping

(communications)
Spectral noise transformation in a quantisation processes. Noise is "colourised" in the time domain an/or frequency domain by adding parts of the previous sample. The SNR bandwidth and SNR time integral stay the same, so some noise decreases, some increases, but overall noise always increases.

An example of noise shaping in the frequency domain is quantisation of samples on a Compact Disc to reduce noise below -98 dB. The are different algorithms with slightly different filters, e.g. Super Bitmapping, 4D Recording.

A time domain example is MPEG-4 AAC TNS, which is a method to enhance quality by temporal forming of the noise in a transform block.
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Here is a small sampling of paper topics to give a sense of the technical level: rate distortion bounds for binary erasure source using sparse graph codes, subsampling-adaptive directional wavelet transform for image coding, fixed-lag smoothing for low-delay predictive coding with noise shaping for Lossy networks, and shape recognition using vector quantization.
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Wouldn't it be nice to know beforehand what jitter, noise shaping, etc.
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The AD926x utilizes principles of over sampling, noise shaping and input characteristics unique to its architecture to achieve high levels of performance and ease of use.