Similarity Based Methodology for Industrial Signal Recovery

Lecture Notes in Mechanical Engineering - Proceedings of 5th International Conference on the Industry 4.0 Model for Advanced Manufacturing ◽

10.1007/978-3-030-46212-3_8 ◽

2020 ◽

pp. 116-128

Author(s):

Ramin Sabbagh ◽

Alec Stothert ◽

Dragan Djurdjanovic

Keyword(s):

Signal Recovery

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DOA Estimation and Signal Recovery Combined Blind Source Separation with High Resolution

ACTA AUTOMATICA SINICA ◽

10.3724/sp.j.1004.2010.00442 ◽

2010 ◽

Vol 36 (3) ◽

pp. 442-445

Author(s):

Chun-Yu KANG ◽

Xin-Hua ZHANG ◽

Dong HAN

Keyword(s):

High Resolution ◽

Blind Source Separation ◽

Source Separation ◽

Doa Estimation ◽

Signal Recovery

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Phase-locked Optical Signal Recovery

10.21236/ada524534 ◽

2009 ◽

Author(s):

Alwyn J. Seeds ◽

Martyn Fice

Keyword(s):

Optical Signal ◽

Signal Recovery

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A deconvolution method for signal recovery of electromagnetic field sensors

Measurement ◽

10.1016/j.measurement.2021.109380 ◽

2021 ◽

Vol 178 ◽

pp. 109380

Author(s):

Yunsheng Jiang ◽

Cui Meng ◽

Zhiqian Xu ◽

Ping Wu ◽

Maoxing Zhang ◽

...

Keyword(s):

Electromagnetic Field ◽

Signal Recovery ◽

Deconvolution Method

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Spectrally Sparse Signal Recovery via Hankel Matrix Completion With Prior Information

IEEE Transactions on Signal Processing ◽

10.1109/tsp.2021.3067738 ◽

2021 ◽

Vol 69 ◽

pp. 2174-2187

Author(s):

Xu Zhang ◽

Yulong Liu ◽

Wei Cui

Keyword(s):

Prior Information ◽

Matrix Completion ◽

Hankel Matrix ◽

Sparse Signal ◽

Sparse Signal Recovery ◽

Signal Recovery

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Sparse Signal Recovery for Multiple Measurement Vectors with Temporally Correlated Entries

Proceedings of the 11th Indian Conference on Computer Vision, Graphics and Image Processing ◽

10.1145/3293353.3293420 ◽

2018 ◽

Author(s):

Shruti Sharma ◽

Santanu Chaudhury ◽

Jayadeva Jayadeva ◽

Snigdha Bhagat

Keyword(s):

Sparse Signal ◽

Sparse Signal Recovery ◽

Signal Recovery ◽

Multiple Measurement ◽

Multiple Measurement Vectors ◽

Temporally Correlated

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A parallel monotone hybrid algorithm for a finite family of $$G-$$nonexpansive mappings in Hilbert spaces endowed with a graph applicable in signal recovery

Computational and Applied Mathematics ◽

10.1007/s40314-021-01530-6 ◽

2021 ◽

Vol 40 (4) ◽

Author(s):

Suthep Suantai ◽

Kunrada Kankam ◽

Prasit Cholamjiak ◽

Watcharaporn Cholamjiak

Keyword(s):

Hilbert Spaces ◽

Hybrid Algorithm ◽

Nonexpansive Mappings ◽

Finite Family ◽

Signal Recovery ◽

Monotone Hybrid Algorithm

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Statistical Graph Signal Recovery Using Variational Bayes

IEEE Transactions on Circuits & Systems II Express Briefs ◽

10.1109/tcsii.2020.3045217 ◽

2020 ◽

pp. 1-1

Author(s):

Razieh Torkamani ◽

Hadi Zayyani

Keyword(s):

Variational Bayes ◽

Signal Recovery ◽

Statistical Graph

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Array Signal Recovery and Direction-Finding Based on Non-Uniform Period Modulation

2020 9th Asia-Pacific Conference on Antennas and Propagation (APCAP) ◽

10.1109/apcap50217.2020.9245906 ◽

2020 ◽

Author(s):

Gang Ni ◽

Chong He ◽

Jingfeng Chen ◽

Yiqing Liu ◽

Xingbang Jiang ◽

...

Keyword(s):

Direction Finding ◽

Signal Recovery

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Non-Bayesian Estimation Framework for Signal Recovery on Graphs

IEEE Transactions on Signal Processing ◽

10.1109/tsp.2021.3054995 ◽

2021 ◽

Vol 69 ◽

pp. 1169-1184

Author(s):

Tirza Routtenberg

Keyword(s):

Bayesian Estimation ◽

Signal Recovery

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Clutter-Contaminated Signal Recovery in Spectral Domain for Polarimetric Weather Radar

IEEE Geoscience and Remote Sensing Letters ◽

10.1109/lgrs.2021.3063355 ◽

2021 ◽

pp. 1-5

Author(s):

Jiapeng Yin ◽

Marc Schleiss ◽

Xuesong Wang

Keyword(s):

Weather Radar ◽

Spectral Domain ◽

Signal Recovery ◽

Polarimetric Weather Radar

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