Adaptive predictive coding: Difference between revisions
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'''Adaptive predictive coding''' ('''APC''') is a [[narrowband]] [[analog (signal)|analog]]-to-[[digital]] conversion that uses a one-level or multilevel sampling [[system]] in which the value of the [[signal (information theory)|signal]] at each sampling instant is predicted according to a linear function of the past values of the quantized signals. |
'''Adaptive predictive coding''' ('''APC''') is a [[narrowband]] [[analog (signal)|analog]]-to-[[digital]] conversion that uses a one-level or multilevel sampling [[system]] in which the value of the [[signal (information theory)|signal]] at each sampling instant is predicted according to a linear function of the past values of the quantized signals. |
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APC is related to [[linear predictive coding]] (LPC) in that both use adaptive predictors. However, APC uses fewer prediction coefficients, thus requiring a higher [[sampling rate]] than LPC. |
APC is related to [[linear predictive coding]] (LPC) in that both use adaptive predictors. However, APC uses fewer prediction coefficients, thus requiring a higher [[sampling rate]] than LPC. |
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[[Category:Digital signal processing]] |
[[Category:Digital signal processing]] |
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Revision as of 13:28, 19 February 2013
Adaptive predictive coding (APC) is a narrowband analog-to-digital conversion that uses a one-level or multilevel sampling system in which the value of the signal at each sampling instant is predicted according to a linear function of the past values of the quantized signals.
APC is related to linear predictive coding (LPC) in that both use adaptive predictors. However, APC uses fewer prediction coefficients, thus requiring a higher sampling rate than LPC.
This article incorporates public domain material from Federal Standard 1037C. General Services Administration. Archived from the original on 2022-01-22.