Mean square quantization error
id:
mean-square-quantization-error-280-12214062
title:
Mean square quantization error
text:
Mean square quantization error (MSQE) is a figure of merit for the process of analog to digital conversion. In this conversion process, analog signals in a continuous range of values are converted to a discrete set of values by comparing them with a sequence of thresholds.
The quantization error of a signal is the difference between the original continuous value and its discretization, and the mean square quantization error is the expected value of the square of the quantization errors. Mathemat
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wiki
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encyclopedia
description:
original url:
https://en.wikipedia.org/wiki/Mean_square_quantization_error
date created:
date modified:
2016-08-03T15:05:50Z
main entity:
{"identifier":"Q16890402","url":"https://www.wikidata.org/entity/Q16890402"}
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13
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