Mean square quantization error: Difference between revisions

Revision as of 07:26, 26 February 2012

Revision as of 18:07, 6 March 2012

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{{Multiple issues|wikify = February 2012|cleanup = July 2007|unreferenced = October 2007}}

'''Mean square quantization error''' (MSQE) is a figure of merit for the process of [[Analog-to-digital converter|analog to digital conversion]].

As the input is varied, the input's value is recorded when the digital output changes. For each digital output, the input's difference from ideal is normalized to the value of the [[least significant bit]], then squared, summed, and normalized to the number of samples.

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[[Category:Statistical deviation and dispersion]]