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Research article

First published 2016-8

A study of noisy signal pattern recognition using method of emphasizing wavelet coefficients for reference clean signal data

Yoichi Midorikawa, Masanori Akita

International Journal of Applied Electromagnetics and Mechanics

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Research article

First published 1991-4

Real-Time Processing for Rotor-Angle and Rotorspeed Signal Estimation in Noisy Environment

P. T. Ho, S. K. Tso

International Journal of Electrical Engineering & Education

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Research article

First published 2002-1

Extraction of spectral features of signals under the noisy environment using modification rules and weighting function

Masanori Akita, Naoki Tsuboe, Yoichi Midorikawa

International Journal of Applied Electromagnetics and Mechanics

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Research article

First published 2003-9

Real-time algorithms for estimating jerk signals from noisy acceleration data

Shin-ichi Nakazawa, Tadashi Ishihara, Hikaru Inooka

International Journal of Applied Electromagnetics and Mechanics

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Research article

First published 2021-2

Algebraic estimator of Parkinson’s tremor frequency from biased and noisy sinusoidal signals

Claudia F. Yaşar

Transactions of the Institute of Measurement and Control

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Research article

First published 2007-2

Improvement of the noisy signal pattern recognition using wavelet transform and weighting coefficients for each subblock

Yoichi Midorikawa, Masanori Akita

International Journal of Applied Electromagnetics and Mechanics

Free access

Research article

First published 2012-2

A Forward–Backward Approach for Instantaneous Frequency Estimation of Frequency Modulated Signals in Noisy Environment

Kazys Kazlauskas, Rimantas Pupeikis

Informatica: An International Journal of Computing and Informatics

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Research article

First published 2016

Full-oscillatory components decomposition from noisy machining vibration signals by minimizing the Q-factor variation

Y-Q Wang, Q-L Bo, H-B Liu [...]

Transactions of the Institute of Measurement and Control

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Research article

First published 2019-10-25

Detection and extraction of shockwave signal in noisy environments

Yongli Zhang, Tailin Han, Baihe Lang [...]

Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology

Open access

Research article

First published 2021-1

A method for enhancing speech and warning signals based on parallel convolutional neural networks in a noisy environment

Ha Lim Kang, Sung Dae Na, Myoung Nam Kim

Technology and Health Care

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