Detecting Discontinuities in Time Series of Upper-Air Data: Development and Demonstration of an Adaptive Filter Technique

Journal of Climate ◽

10.1175/1520-0442(1996)009<3548:dditso>2.0.co;2 ◽

1996 ◽

Vol 9 (12) ◽

pp. 3548-3560 ◽

Author(s):

I. Zurbenko ◽

P. S. Porter ◽

R. Gui ◽

S. T. Rao ◽

J. Y. Ku ◽

...

Keyword(s):

Time Series ◽

Adaptive Filter ◽

Filter Technique

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Detecting discontinuities in time series of upper air data: Demonstration of an adaptive filter technique

10.2172/548869 ◽

1997 ◽

Author(s):

I. Zurbenko ◽

J. Chen ◽

S.T. Rao

Keyword(s):

Time Series ◽

Adaptive Filter ◽

Filter Technique

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Chaotic Time Series Online Prediction Based on Improved Kernel Adaptive Filter

2018 International Joint Conference on Neural Networks (IJCNN) ◽

10.1109/ijcnn.2018.8489753 ◽

2018 ◽

Author(s):

Shuhui Zhang ◽

Min Han ◽

Meiling Xu

Keyword(s):

Time Series ◽

Adaptive Filter ◽

Chaotic Time Series ◽

Online Prediction

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Detecting and removing repetitive errors from PPP time series by means of adaptive filter

2017 Signal Processing Symposium (SPSympo) ◽

10.1109/sps.2017.8053691 ◽

2017 ◽

Author(s):

Sefa Yalvac ◽

Aydin Ustun ◽

Mike Mustafa Berber

Keyword(s):

Time Series ◽

Adaptive Filter

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Adaptive predict-filter of chaotic time series constructed Based on the neighbou rhood in the reconstructed phase space(Ⅱ)nonlinear adaptive filter

Acta Physica Sinica ◽

10.7498/aps.52.1102 ◽

2003 ◽

Vol 52 (5) ◽

pp. 1102

Author(s):

Gan Jian-Chao ◽

Xiao Xian-Ci

Keyword(s):

Time Series ◽

Phase Space ◽

Adaptive Filter ◽

Chaotic Time Series ◽

Reconstructed Phase Space

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Recurrent kernel online sequential extreme learning machine with kernel adaptive filter for time series prediction

2017 IEEE Symposium Series on Computational Intelligence (SSCI) ◽

10.1109/ssci.2017.8285292 ◽

2017 ◽

Author(s):

Zongying Liu ◽

Chu Kiong Loo ◽

Kitsuchart Pasupa

Keyword(s):

Time Series ◽

Extreme Learning Machine ◽

Adaptive Filter ◽

Time Series Prediction ◽

Learning Machine

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An Adaptive Filter Technique for Platform Motion Compensation in Unmanned Aerial Vehicle Based Remote Life Sensing Radar

2020 50th European Microwave Conference (EuMC) ◽

10.23919/eumc48046.2021.9338011 ◽

2021 ◽

Author(s):

Shekh M. M. Islam ◽

Lana C. Lubecke ◽

Christian Grado ◽

Victor M. Lubecke

Keyword(s):

Unmanned Aerial Vehicle ◽

Adaptive Filter ◽

Motion Compensation ◽

Platform Motion ◽

Filter Technique ◽

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Time series prediction using kernel adaptive filter with least mean absolute third loss function

Nonlinear Dynamics ◽

10.1007/s11071-017-3707-7 ◽

2017 ◽

Vol 90 (2) ◽

pp. 999-1013 ◽

Author(s):

Lu Lu ◽

Haiquan Zhao ◽

Badong Chen

Keyword(s):

Time Series ◽

Loss Function ◽

Adaptive Filter ◽

Time Series Prediction

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Measurement of varying sub-critical reactivity with digital time-series data acquisition system using difference filter technique

2001 IEEE Nuclear Science Symposium Conference Record (Cat. No.01CH37310) ◽

10.1109/nssmic.2001.1008486 ◽

2005 ◽

Author(s):

G. Wakabayashi ◽

Y. Yonemura ◽

H. Heguri ◽

M. Matoba ◽

K. Hashimoto ◽

...

Keyword(s):

Time Series ◽

Data Acquisition ◽

Time Series Data ◽

Data Acquisition System ◽

Acquisition System ◽

Series Data ◽

Filter Technique ◽

Difference Filter ◽

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A Simple Data Assimilation Method for Improving Estimation of MODIS LAI Time-series Data Products Based on the 2-Dimensional LMS Adaptive Filter

2006 IEEE International Symposium on Geoscience and Remote Sensing ◽

10.1109/igarss.2006.440 ◽

2006 ◽

Author(s):

B. He ◽

L. Tong ◽

W. Xu ◽

X. Han ◽

H. Yuan ◽

...

Keyword(s):

Time Series ◽

Data Assimilation ◽

Adaptive Filter ◽

Time Series Data ◽

Series Data ◽

Data Products ◽

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Automatic tuning of continuous-time integrated filters using an adaptive filter technique

IEEE Transactions on Circuits and Systems ◽

10.1109/31.99153 ◽

1991 ◽

Vol 38 (11) ◽

pp. 1241-1248 ◽

Author(s):

K.A. Kozma ◽

D.A. Johns ◽

A.S. Sedra

Keyword(s):

Adaptive Filter ◽

Continuous Time ◽

Automatic Tuning ◽

Filter Technique ◽

Integrated Filters

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