Application of Autoregressive Spectral Analysis to Missing Data Problems-Reference-Cited by-同舟云学术

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Application of Autoregressive Spectral Analysis to Missing Data Problems

Published:2004-08 Issue:4 Volume:53 Page:981-986
ISSN:0018-9456
Container-title:IEEE Transactions on Instrumentation and Measurement
language:en
Short-container-title:IEEE Trans. Instrum. Meas.

Author:

Broersen P.M.T.,de Waele S.,Bos R.

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Instrumentation

Link

http://xplorestaging.ieee.org/ielx5/19/29167/01315972.pdf?arnumber=1315972

Cited by 19 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Robust Control Performance Monitoring for Varying-Dimensional Time-Series Data Based on SCADA Systems;IEEE Transactions on Instrumentation and Measurement;2022

2. Assessing Granger Causality on Irregular Missing and Extreme Data;IEEE Access;2021

3. Spectral estimation of HRV in signals with gaps;Biomedical Signal Processing and Control;2019-07

4. Granger-causality inference in the presence of gaps: An equidistant missing-data problem for non-synchronous recorded time series data;Physica A: Statistical Mechanics and its Applications;2019-06

5. Optical Coherence Tomography With Gapped Spectrum;IEEE Photonics Journal;2019-04

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