Journal ArticleDOI
New methods to improve convergence of sine fitting algorithms
TLDR
New methods that improve results in sine wave parameter estimation when the frequency is unknown, assuring convergence even in the presence of saturation, noise or distortion are presented.About:
This article is published in Computer Standards & Interfaces.The article was published on 2003-03-01. It has received 31 citations till now. The article focuses on the topics: Sine wave & Signal processing.read more
Citations
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Journal ArticleDOI
A new sine-fitting algorithm for accurate amplitude and phase measurements in two channel acquisition systems
Pedro M. Ramos,A.C. Serra +1 more
TL;DR: A new algorithm to estimate the sinewave parameters of two acquired sine signals sharing a common frequency can be used for example in impedance measurements or in the accurate frequency characterization of linear systems by measuring its input and output and varying the input signal frequency.
Journal ArticleDOI
Low frequency impedance measurement using sine-fitting
TL;DR: An impedance measurement technique based on the use of a personal computer, two digitizing channels and the application of four-parameter sine-fitting algorithms to estimate amplitude, phase, offset and frequency of the voltages across the impedance under measurement and of a reference impedance is described.
Journal ArticleDOI
Bias of amplitude estimation using three-parameter sine fitting in the presence of additive noise
TL;DR: It is demonstrated that although the estimator is biased, it is asymptotically unbiased, that is, the estimation error vanishes as the number of data points increase to infinity.
Journal ArticleDOI
Parameter Estimation Employing a Dual-Channel Sine-Wave Model Under a Gaussian Assumption
TL;DR: The proposed method is close to optimal with an error variance close to the predictions made by the CRB, and the outcome was compared with that of the corresponding CRB and with a recently proposed seven-parameter fit.
Journal ArticleDOI
Estimating Parameters of a Sine Wave by Separable Nonlinear Least Squares Fitting
TL;DR: The four-parameter sine wave (FPSW) is commonly used to characterize noise, signal to noise, and the effective number of bits in analog-to-digital converters and an algorithm based on separable nonlinear least squares fitting is presented.
References
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Journal ArticleDOI
Hybrid Newton/Gauss-Newton algorithm for time-domain analysis of A/D converters
TL;DR: In this article, a maximum likelihood estimator for a sum of harmonically related sinewaves for characterizing analog-to-digital (A/D) converters is presented.
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