Computationally lean algorithm of novel optimal FIR adaptive filter for vortex signal extraction-Reference-Cited by-同舟云学术

Computationally lean algorithm of novel optimal FIR adaptive filter for vortex signal extraction

Published:2014-03 Issue: Volume:35 Page:28-38
ISSN:0955-5986
Container-title:Flow Measurement and Instrumentation
language:en
Short-container-title:Flow Measurement and Instrumentation

Author:

Sondkar Shilpa,Abhyankar Hemant,Fernandes Neville^ORCID

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Computer Science Applications,Instrumentation,Modeling and Simulation

Reference18 articles.

1. Modelling and tracking a vortex flow-meter signal;Ghaoud;Flow Meas Instrum,2002

2. Wavelet denoising applied to vortex flowmeters;Tao;Flow Meas Instrum,2004

3. Hong-Jun S, Tao Z. Digital signal processing based on wavelet and statistics method for vortex flowmeters. In: Proceedings of the third international conference on machine learning and cybernetics, Shanghai, 26–29 August, 2004. p. 3160–3.

4. Determination of real-time vortex shedding frequency by a DSP;Chih-Chung;J Chin Soc Mech Eng,2006

5. Fundamental wave extraction and frequency measurement based on IIR wavelet filter banks;Ke-Jun;Measurement,2007

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1. A Detection Method for Vortex Precession Frequency Based on MEMS Three-Axis Acceleration Sensor;IEEE Transactions on Instrumentation and Measurement;2023

2. Using Three-axis Acceleration Sensor to Measure the Frequency of the Precession Vortex Signal;2022 IEEE International Instrumentation and Measurement Technology Conference (I2MTC);2022-05-16

3. Vortex signal model based Kalman filter of vortex signal processing method;Review of Scientific Instruments;2022-04-01

4. Numerical simulation of the effect of upstream swirling flow on swirl meter performance;Journal of Thermal Science;2018-03-16

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