Mean square quantization error: Difference between revisions

Revision as of 04:02, 26 May 2008

Revision as of 07:26, 26 February 2012

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

{{Cleanup|date=July 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.

{{unreferenced|date=October 2007}}

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[[Category:Statistical deviation and dispersion]]

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