Real-time damage detection of bridges using adaptive time-frequency analysis and ANN

Numerical Methods in Civil Engineering ◽

10.52547/nmce.4.1.49 ◽

2019 ◽

Vol 4 (1) ◽

pp. 49-61

Author(s):

V. Ahmadian ◽

S. B. Beheshti Aval ◽

E. Darvishan ◽

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...

Keyword(s):

Damage Detection ◽

Real Time ◽

Frequency Analysis ◽

Time Frequency Analysis ◽

Time Frequency ◽

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An adaptive time-frequency analysis scheme for improved real-time speech enhancement

2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) ◽

10.1109/icassp.2014.6854809 ◽

2014 ◽

Author(s):

Kristian Timm Andersen ◽

Marc Moonen

Keyword(s):

Real Time ◽

Speech Enhancement ◽

Frequency Analysis ◽

Time Frequency Analysis ◽

Time Frequency ◽

Analysis Scheme ◽

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Automatic detection of cardiac cycle based on an adaptive time-frequency analysis of the phonocardiogram

Proceedings of the 19th Annual International Conference of the IEEE Engineering in Medicine and Biology Society. 'Magnificent Milestones and Emerging Opportunities in Medical Engineering' (Cat. No.97CH36136) ◽

10.1109/iembs.1997.756618 ◽

2002 ◽

Author(s):

H. Sava ◽

L.-G. Durand

Keyword(s):

Frequency Analysis ◽

Cardiac Cycle ◽

Automatic Detection ◽

Time Frequency Analysis ◽

Time Frequency ◽

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Transient interference excision in over-the-horizon radar using adaptive time-frequency analysis

IEEE Transactions on Geoscience and Remote Sensing ◽

10.1109/tgrs.2005.844291 ◽

2005 ◽

Vol 43 (4) ◽

pp. 722-735 ◽

Author(s):

Xi ◽

Hongbo Sun ◽

Tat Soon Yeo

Keyword(s):

Frequency Analysis ◽

Time Frequency Analysis ◽

Time Frequency ◽

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Real-time feature extraction for multi-channel EEG signals time-frequency analysis

2017 8th International IEEE/EMBS Conference on Neural Engineering (NER) ◽

10.1109/ner.2017.8008397 ◽

2017 ◽

Author(s):

Lei Zhang

Keyword(s):

Feature Extraction ◽

Real Time ◽

Frequency Analysis ◽

Eeg Signals ◽

Time Frequency Analysis ◽

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Adaptive time-frequency analysis of autonomic nervous system

Proceedings of 17th International Conference of the Engineering in Medicine and Biology Society ◽

10.1109/iembs.1995.579494 ◽

2002 ◽

Author(s):

M.V. Tazebay ◽

R. Saliba ◽

S. Reisman

Keyword(s):

Nervous System ◽

Autonomic Nervous System ◽

Frequency Analysis ◽

Time Frequency Analysis ◽

Time Frequency ◽

Autonomic Nervous ◽

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Real-Time Gapless Analog Time Frequency Analysis for Bandwidths above 20 GHz with Nanosecond Resolution

10.1109/ecoc52684.2021.9606086 ◽

2021 ◽

Author(s):

Connor M.L. Rowe ◽

Benjamin Crockett ◽

Jose Azana

Keyword(s):

Real Time ◽

Frequency Analysis ◽

Time Frequency Analysis ◽

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Adaptive time–frequency analysis based on autoregressive modeling

Signal Processing ◽

10.1016/j.sigpro.2010.07.020 ◽

2011 ◽

Vol 91 (4) ◽

pp. 740-749 ◽

Author(s):

Antonio H. Costa ◽

Stephan Hengstler

Keyword(s):

Frequency Analysis ◽

Autoregressive Modeling ◽

Time Frequency Analysis ◽

Time Frequency ◽

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Application of adaptive time-frequency analysis in cardiac murmurs signal processing

2001 Conference Proceedings of the 23rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society ◽

10.1109/iembs.2001.1020596 ◽

2005 ◽

Author(s):

Wang Haibin ◽

Wang Jianqi ◽

Luo Guohua ◽

Zhao Guohui ◽

Ni Ansheng

Keyword(s):

Signal Processing ◽

Frequency Analysis ◽

Time Frequency Analysis ◽

Time Frequency ◽

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Cerebrovascular assessment using a doppler carotid scanner and real-time frequency analysis

Journal of Clinical Ultrasound ◽

10.1002/jcu.1870090808 ◽

1981 ◽

Vol 9 (8) ◽

pp. 443-449 ◽

Author(s):

Kenneth W. Johnston ◽

Domingos deMorais ◽

Mahmood Kassam ◽

Peter M. Brown

Keyword(s):

Real Time ◽

Frequency Analysis ◽

Time Frequency Analysis ◽

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Spike Detection Based on the Adaptive Time–Frequency Analysis

Circuits Systems and Signal Processing ◽

10.1007/s00034-020-01427-5 ◽

2020 ◽

Vol 39 (11) ◽

pp. 5656-5680

Author(s):

Mokhtar Mohammadi ◽

Nabeel Ali Khan ◽

Hamid Hassanpour ◽

Adil Hussien Mohammed

Keyword(s):

Frequency Analysis ◽

Spike Detection ◽

Time Frequency Analysis ◽

Time Frequency ◽

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