A new technique for characterization of digital-to-analog converters in high-speed systems

In this paper, a new technique for characterization of digital-to-analog converters (DAC) used in wideband applications is described. Unlike the standard narrowband approach, this technique employs Least Square Estimation to characterize the DAC from dc to any target frequency. Characterization is p...

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Vydané v:2007 Design, Automation & Test in Europe Conference & Exhibition : Nice, France, 16-20 April 2007 s. 433 - 438
Hlavní autori: Savoj, Jafar, Abbasfar, Ali-Azam, Amirkhany, Amir, Garlepp, Bruno W., Horowitz, Mark A.
Médium: Konferenčný príspevok..
Jazyk:English
Vydavateľské údaje: San Jose, CA, USA EDA Consortium 16.04.2007
Edícia:ACM Conferences
Predmet:
Computing methodologies
Computing methodologies > Modeling and simulation
Computing methodologies > Modeling and simulation > Model development and analysis
Computing methodologies > Modeling and simulation > Model development and analysis > Modeling methodologies
Hardware
Hardware > Communication hardware, interfaces and storage
Hardware > Communication hardware, interfaces and storage > Signal processing systems
Hardware > Hardware validation
Mathematics of computing
Mathematics of computing > Information theory
Mathematics of computing > Information theory > Coding theory
ISBN:3981080122, 9783981080124
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Popis
Shrnutí:In this paper, a new technique for characterization of digital-to-analog converters (DAC) used in wideband applications is described. Unlike the standard narrowband approach, this technique employs Least Square Estimation to characterize the DAC from dc to any target frequency. Characterization is performed using a random sequence with certain temporal and probabilistic characteristics suitable for intended operating conditions. The technique provides a linear estimation of the system and decomposes nonlinearity into higher-order harmonics and deterministic periodic noise. The technique can also be used to derive the impulse response of the converter, predict its operating bandwidth, and provide far more insight into its sources of distortion.
Bibliografia:SourceType-Conference Papers & Proceedings-1
ObjectType-Conference Paper-1
content type line 25
ISBN:3981080122
9783981080124
DOI:10.5555/1266366.1266457