Detail publikačního výsledku

ADC LINEARITY TESTING USING LOW LINEARITY SIGNALS

SAJDL, O.

Originální název

ADC LINEARITY TESTING USING LOW LINEARITY SIGNALS

Anglický název

ADC LINEARITY TESTING USING LOW LINEARITY SIGNALS

Druh

Stať ve sborníku v databázi WoS či Scopus

Originální abstrakt

This paper introduces the stimulus error identification and removal method for accurately testing ADC linearity using signal generators that may be significantly less linear than the device under test. Under this approach, two imprecise nonlinear but functionally related excitations are applied to the ADC input to obtain two sets of ADC output data. The algorithm then uses the redundant information from the two sets of data to accurately identify the nonlinearity errors in the stimuli. The algorithm then removes the stimulus error from the ADC output data, allowing the ADC nonlinearity to be accurately measured.

Anglický abstrakt

This paper introduces the stimulus error identification and removal method for accurately testing ADC linearity using signal generators that may be significantly less linear than the device under test. Under this approach, two imprecise nonlinear but functionally related excitations are applied to the ADC input to obtain two sets of ADC output data. The algorithm then uses the redundant information from the two sets of data to accurately identify the nonlinearity errors in the stimuli. The algorithm then removes the stimulus error from the ADC output data, allowing the ADC nonlinearity to be accurately measured.

Klíčová slova

ADC, testing, low linearity

Klíčová slova v angličtině

ADC, testing, low linearity

Autoři

SAJDL, O.

Vydáno

13.03.2006

Nakladatel

IEEE

Místo

Marrakech, Marocco

ISBN

2-908849-17-8

Kniha

ISCCSP 2006

Strany od

90

Strany počet

94

BibTex

@inproceedings{BUT18709,
  author="Ondřej {Sajdl}",
  title="ADC LINEARITY TESTING USING LOW LINEARITY SIGNALS",
  booktitle="ISCCSP 2006",
  year="2006",
  pages="94",
  publisher="IEEE",
  address="Marrakech, Marocco",
  isbn="2-908849-17-8"
}