New Trends in Analog to Digital Converters Testing
نویسنده
چکیده
In this paper, new state of the art analog-to-digital converters (ADCs) testing techniques both static and dynamic are revised and discussed. Regarding the static test it is shown that a new technique based on the use of small triangular waves superimposed with a variable offset value as input signal, reduces dramatically the test duration. This histogram based technique can be implemented by using low cost generators even for high resolution ADC testing. In relation to the dynamic test, a variant of the traditional histogram test using Gaussian noise as stimulus signal is discussed. It allows the test of high frequency, or high resolution ADCs in those cases where the traditional sinusoidal stimuli are not available with the required spectral purity. New techniques to grant convergence of the traditional four-parameter sine fitting algorithms traditionally used in time domain tests are also revised.
منابع مشابه
Improving adaptive resolution of analog to digital converters using least squares mean method
This paper presents an adaptive digital resolution improvement method for extrapolating and recursive analog-to-digital converters (ADCs). The presented adaptively enhanced ADC (AE-ADC) digitally estimates the digital equivalent of the input signal by utilizing an adaptive digital filter (ADF). The least mean squares (LMS) algorithm also determines the coefficients of the ADF block. In this sch...
متن کاملAnalysis of Integral Nonlinearity in Radix-4 Pipelined Analog-to-Digital Converters
In this paper an analytic approach to estimate the nonlinearity of radix-4 pipelined analog-to-digital converters due to the circuit non-idealities is presented. Output voltage of each stage is modeled as sum of the ideal output voltage and non-ideal output voltage (error voltage), in which non-ideal output voltage is created by capacitor mismatch, comparator offset, input offset, and finite ga...
متن کاملPerformance Testing of Logarithmic Analog- To-digital Converters
Abstract This paper describes test procedures to characterize the behavior of logarithmic analog-to-digital converters. Logarithmic A/D converters are usually characterized in terms of signal-to-noise ratio (SNR) or in deviation of the ideal characteristic in dB. There are a lack of test methods definition in the literature, as can be observed in the IEEE standard 1241 for these type of convert...
متن کاملUse of Neural Networks in Testing Analog to Digital Converters
In the past two decades, the techniques of artificial neural networks are growing mature, as a datadriven method, which provides a totally new perspective to fault diagnosis. Testing issues are becoming more and more important with the quick development of both digital and analog circuit industry. Analog-to-digital converters (ADCs) are becoming more and more widespread owing to their fundament...
متن کاملDigital to Analog Converters: a Metrological Overview
In the last years the technology improvement of Digital-to-Analog Converters (DACs) has extended the use of digital techniques in a multitude of applications. Consequently, there is an increasing attention to DAC topics, from researchers and manufacturers. The paper is aimed at providing a metrological overview and the leading trends of the research in the field of DACs.
متن کامل