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Quantisation and PCM

Quantisation and PCM

Abstract

Logarithmic non-uniform quantisation that delivers a constant signal-to-quantisation noise ratio (SQNR) across all input signal levels. The benefit and price of non-uniform quantisation are also quantified in terms of companding gain and companding penalty.A comprehensive treatment of A-law and m-law PCM source coding standards, including derivation of the standards from the ideal logarithmic compression curve through piece-wise linear approximations, detailed SQNR analysis, and performance comparisons with linear ADC. Lossy data compression: A brief overview highlighting various categories of low bit rate speech coding, namely waveform coders, vocoders and hybrid coders. The discussion particularly focuses on speech quality measures and trade-offs in low bit rate speech coding, and on differential quantisation, linear prediction and various special cases of bit rate reduction, including ADPCM, ADM and LPC-10.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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