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Proceedings ArticleDOI

A fast, robust algorithm for estimating effective bits of an A/D converter

Yih-Chyun Jenq
- pp 18
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TLDR
This paper proposes a new algorithm which draws on the strength of the 4-parameter estimation algorithm and a modified FFT method and can easily automate the process without worrying about various constraints imposed by the previously published algorithms.
Abstract
One of the most important performance indicators of an A/D converter is the effective bit. The effective bit of an A/D converter measures the average power of the noise generated in the process of analog to digital conversion. Three major methods for estimating A/D effective bit are minimum mean square error sine fitting algorithm, 4-parameter estimation algorithm, and the FFT method. Each method has its own strength and weakness. In this paper we propose a new algorithm which draws on the strength of the 4-parameter estimation algorithm and a modified FFT method. With this new algorithm, user can easily automate the process without worrying about various constraints imposed by the previously published algorithms. Extensive simulations have shown that the new algorithm is fast, robust, and gives accurate results

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Citations
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Journal ArticleDOI

Sine-fit versus discrete Fourier transform-based algorithms in SNR testing of waveform digitizers

TL;DR: In this article, the performance of discrete Fourier transform (DFT)-based algorithms employed in signal-to-noise-ratio (SNR) testing of waveform digitizers is analyzed and compared to the performance obtained using sine-fit procedures.
References
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Journal ArticleDOI

On the use of windows for harmonic analysis with the discrete Fourier transform

F.J. Harris
TL;DR: A comprehensive catalog of data windows along with their significant performance parameters from which the different windows can be compared is included, and an example demonstrates the use and value of windows to resolve closely spaced harmonic signals characterized by large differences in amplitude.
Journal ArticleDOI

Sinewave parameter estimation algorithm with application to waveform digitizer effective bits measurement

TL;DR: A high-performance algorithm to estimate the four parameters (amplitude, DC offset, frequency and phase) of a sine wave from a sampled data record is presented and results indicate that the method gives excellent estimates of the true resolution of the simulated ideal digitizer.
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