D. Avila, Enrique Alvarez-Fontecilla, Angel Abusleme
{"title":"Digital assistance for energy reduction in ADCs using a simple signal prediction algorithm","authors":"D. Avila, Enrique Alvarez-Fontecilla, Angel Abusleme","doi":"10.1109/LASCAS.2014.6820264","DOIUrl":null,"url":null,"abstract":"With the adoption of new technology nodes q for analog circuits, different digital techniques have been designed to enhance their performance. Among the existing techniques, a promising approach is to adapt the circuit operation dynamically considering the application characteristics. In the field of analog-to-digital converters (ADCs), typically this approach is carried out by taking advantage of application-dependent signal properties, hence their use is limited. In this work, a digital assistance technique for power reduction in ADCs is presented. By defining a reduced valid range for the next sample based upon the maximum possible change of the input signal between samples, the proposed algorithm reduces the mean energy consumption per conversion in a variety of ADC architectures, regardless of the application.","PeriodicalId":235336,"journal":{"name":"2014 IEEE 5th Latin American Symposium on Circuits and Systems","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2014-05-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2014 IEEE 5th Latin American Symposium on Circuits and Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/LASCAS.2014.6820264","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
With the adoption of new technology nodes q for analog circuits, different digital techniques have been designed to enhance their performance. Among the existing techniques, a promising approach is to adapt the circuit operation dynamically considering the application characteristics. In the field of analog-to-digital converters (ADCs), typically this approach is carried out by taking advantage of application-dependent signal properties, hence their use is limited. In this work, a digital assistance technique for power reduction in ADCs is presented. By defining a reduced valid range for the next sample based upon the maximum possible change of the input signal between samples, the proposed algorithm reduces the mean energy consumption per conversion in a variety of ADC architectures, regardless of the application.