The paper presents an analysis of the statistical efficiency of the sinewave histogram test used for estimating the unknown transition levels of an analog-to-digital converter. Accordingly, at first a closed–form determination of the Cram´er–Rao bound is derived under the assumption of a noiseless stimulus signal. Both unbiased and biased versions of the bound are described in order to account for the eventual bias introduced by commonly employed estimators. Then, additive Gaussian noise is assumed and comments are made about its effects on the maximum achievable accuracy.

Efficiency of ADC Linearity Estimators / Carbone, Paolo; Nunzi, Emilia; Petri, Dario. - ELETTRONICO. - (2004).

Efficiency of ADC Linearity Estimators

Carbone, Paolo;Petri, Dario
2004-01-01

Abstract

The paper presents an analysis of the statistical efficiency of the sinewave histogram test used for estimating the unknown transition levels of an analog-to-digital converter. Accordingly, at first a closed–form determination of the Cram´er–Rao bound is derived under the assumption of a noiseless stimulus signal. Both unbiased and biased versions of the bound are described in order to account for the eventual bias introduced by commonly employed estimators. Then, additive Gaussian noise is assumed and comments are made about its effects on the maximum achievable accuracy.
2004
Trento, Italia
Università degli Studi di Trento. DEPARTMENT OF INFORMATION AND COMMUNICATION TECHNOLOGY
Efficiency of ADC Linearity Estimators / Carbone, Paolo; Nunzi, Emilia; Petri, Dario. - ELETTRONICO. - (2004).
Carbone, Paolo; Nunzi, Emilia; Petri, Dario
File in questo prodotto:
File Dimensione Formato  
Efficiency_of_ADC_Linearity_Estimators.pdf

accesso aperto

Tipologia: Versione editoriale (Publisher’s layout)
Licenza: Tutti i diritti riservati (All rights reserved)
Dimensione 297.26 kB
Formato Adobe PDF
297.26 kB Adobe PDF Visualizza/Apri

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11572/359037
 Attenzione

Attenzione! I dati visualizzati non sono stati sottoposti a validazione da parte dell'ateneo

Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus ND
  • ???jsp.display-item.citation.isi??? ND
  • OpenAlex ND
social impact