The paper is focused on the Word Error Rate (WER) estimation in Analog to Digital Converters (ADCs) as specified in Annex A of the IEEE Std. 1241. The aim is to give a contribution for the next version of such standard. A new statistical approach for WER estimation, that can better integrate what it is stated in the standard, is proposed. In particular, Student's t and chi-square distributions have been introduced for a more accurate WER measurement in the case of n successive observations. The proposed method has been experimentally verified by means of WER measurement, where the testing results were compared by standard method.
A new statistical approach to word error rate measurement in analog-to-digital converters / E. Balestrieri;M. Catelani;L. Ciani;S. Rapuano;A. Zanobini. - STAMPA. - (2010), pp. 607-613. (Intervento presentato al convegno 17th Symposium IMEKO TC4 - Measurement of Electrical Quantities, 15th International Workshop on ADC Modelling and Testing, and 3rd Symposium IMEKO TC19 - Environmental Measurements tenutosi a Kosice; Slovakia nel 2010).
A new statistical approach to word error rate measurement in analog-to-digital converters
CATELANI, MARCANTONIO;CIANI, LORENZO;ZANOBINI, ANDREA
2010
Abstract
The paper is focused on the Word Error Rate (WER) estimation in Analog to Digital Converters (ADCs) as specified in Annex A of the IEEE Std. 1241. The aim is to give a contribution for the next version of such standard. A new statistical approach for WER estimation, that can better integrate what it is stated in the standard, is proposed. In particular, Student's t and chi-square distributions have been introduced for a more accurate WER measurement in the case of n successive observations. The proposed method has been experimentally verified by means of WER measurement, where the testing results were compared by standard method.
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