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Journal ArticleDOI

New Algorithms for Adaptive Notch Smoothing

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TLDR
It is shown that accuracy of signal estimation can be increased if the results obtained from ANF are further processed using a cascade of appropriately designed filters, and the resulting adaptive notch smoothing (ANS) algorithms can be employed in many offline or nearly real-time online applications.
Abstract
The problem of extraction/elimination of a nonstationary complex sinusoidal signal buried in noise is considered. This problem is usually solved using adaptive notch filtering (ANF) algorithms. It is shown that accuracy of signal estimation can be increased if the results obtained from ANF are further processed using a cascade of appropriately designed filters. The resulting adaptive notch smoothing (ANS) algorithms can be employed in many offline or nearly real-time online applications. Whenever signal frequency varies in a sufficiently smooth manner, the proposed fixed-interval and fixed-lag ANS algorithms, based on a new, quasi-linear model of frequency changes, outperform the existing solutions.

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Citations
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Detection, Estimation, and Modulation Theory

TL;DR: Electrical and computer engineering ece courses ece 257a multiuser communication systems 4 congestion control convex programming and dual controller fair end end rate allocation max min fair vs proportional, electrical systems engineering washington university.
Journal ArticleDOI

A Frequency-Locked-Loop Filter for Biased Multi-Sinusoidal Estimation

TL;DR: The averaging theory is used to prove that the filter identifies the unknown frequency of the signal, in the case of a pure biased sinusoid in input, and provides an estimate of the fundamental frequency by converging to a limit cycle in its vicinity.
Proceedings ArticleDOI

FPGA-based implementation of an adaptive notch filter used for grid synchronization of grid-connected converters

TL;DR: A comprehensive qualitative analysis is performed, to compare the different implementation techniques of an adaptive notch filter for the application of utility grid synchronization and proposes the most accurate and cost-effective method of implementation.
Journal ArticleDOI

Loop analysis of adaptive notch filters

TL;DR: The equivalence between adaptive notch filters using a plain gradient algorithm and frequency lock loops (FLLs) with exponential filtering is established and FLL theory is used to analyse the noise performance and signal tracking capabilities of Adaptive notch filters.
References
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Book

Adaptive Filter Theory

Simon Haykin
TL;DR: In this paper, the authors propose a recursive least square adaptive filter (RLF) based on the Kalman filter, which is used as the unifying base for RLS Filters.
Journal Article

Optimal Filtering

TL;DR: This book helps to fill the void in the market and does that in a superb manner by covering the standard topics such as Kalman filtering, innovations processes, smoothing, and adaptive and nonlinear estimation.
Journal ArticleDOI

Applications of adaptive filtering to ECG analysis: noise cancellation and arrhythmia detection

TL;DR: Several adaptive filter structures are proposed for noise cancellation and arrhythmia detection and an adaptive recurrent filter structure is proposed for acquiring the impulse response of the normal QRS complex.
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