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Journal ArticleDOI

Comparative Study of Influence of Noise on Power Frequency Estimation of Sine wave Using Interpolation FFT

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TLDR
In this article, the authors compared the performance of different interpolation fast Fourier transform (FFT) algorithms under white Gaussian noises and showed that the trade-off between biases and variances of frequency estimation is unavoidable.
Abstract
This paper compares performances of frequency estimations provided by different interpolation fast Fourier transform (FFT) algorithms under white Gaussian noises. Firstly, accuracies of frequency estimation algorithms are evaluated by deriving analytical expressions of variances of frequency estimation. Then, theoretical results are validated by means of computer simulations. It is shown that the trade-off between biases and variances of frequency estimation is unavoidable. From both theoretical and simulation results, it can be concluded that variances of frequency estimation are proportional to the noise variance and inverse proportional to the length of FFT.

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Proceedings ArticleDOI

Adaptive signal processing techniques for extracting abdominal fetal electrocardiogram

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Fetal ECG extraction based on adaptive neuro-fuzzy interference system

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Book ChapterDOI

Nonlinear Adaptive Signal Processing Improves the Diagnostic Quality of Transabdominal Fetal Electrocardiography

TL;DR: The investigation and experimental results by using clinicalquality synthetic data generated by the novel fECG signal generator suggest that adaptive neuro-fuzzy inference systems could produce a significant advancement in fetal monitoring during pregnancy and childbirth.
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Fetal ECG Signal Processing by Different ICA-based Algorithms

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References
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Journal ArticleDOI

Accuracy of Sine Wave Frequency Estimation by Multipoint Interpolated DFT Approach

TL;DR: The weighted multipoint interpolated discrete Fourier transform method is considered, and its effect on both the spectral interference due to the image component and the additive wideband noise is taken into account.
Journal ArticleDOI

Frequency Estimation of Distorted and Noisy Signals in Power Systems by FFT-Based Approach

TL;DR: In this paper, a triangular self-convolution window is used to estimate the frequency of power signals corrupted by a stationary white noise and a simple analytical expression for the variance of noise contribution on the frequency estimation is derived, which shows the variances of frequency estimation are proportional to the energy of the adopted window.
Journal ArticleDOI

Simple Interpolated FFT Algorithm Based on Minimize Sidelobe Windows for Power-Harmonic Analysis

TL;DR: The interpolated FFT algorithm based on the minimized sidelobe window is considered, and its calculate procedure and formulas are given, which is free of solving high-order equations, making the method a good choice for real-time applications.
Journal ArticleDOI

Triangular Self-Convolution Window With Desirable Sidelobe Behaviors for Harmonic Analysis of Power System

TL;DR: A TSCW-based phase difference correction algorithm for calculating the power system signal parameters, such as frequency, phase, and amplitude, is presented in this paper and can easily be implemented in embedded systems.
Journal ArticleDOI

Metrological analysis of the LIDFT method

TL;DR: The estimation error components in the DFT linear interpolation (LIDFT) method have been presented in the paper and the relation for the optimal data window parameter is obtained.
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