Adaptive Time-Frequency Parameterization of Frequency-Hopping Signals Based on Evolutionary Algorithm

2010 Third International Joint Conference on Computational Science and Optimization ◽

10.1109/cso.2010.203 ◽

2010 ◽

Cited By ~ 2

Author(s):

Jiantao Guo

Keyword(s):

Evolutionary Algorithm ◽

Frequency Hopping ◽

Time Frequency ◽

Adaptive Time

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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 ◽

Cited By ~ 3

Author(s):

H. Sava ◽

L.-G. Durand

Keyword(s):

Frequency Analysis ◽

Cardiac Cycle ◽

Automatic Detection ◽

Time Frequency Analysis ◽

Time Frequency ◽

Adaptive Time

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An adaptive time-frequency filtering method for nonstationary signals based on the generalized S-transform

Optoelectronics Letters ◽

10.1007/s11801-010-9250-0 ◽

2010 ◽

Vol 6 (2) ◽

pp. 133-136

Author(s):

Dian-wei Wang ◽

Yan-jun Li ◽

Ke Zhang ◽

Huan-min Xu

Keyword(s):

Frequency Filtering ◽

Nonstationary Signals ◽

Time Frequency ◽

Filtering Method ◽

S Transform ◽

Generalized S Transform ◽

Adaptive Time

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Parameter estimation of multi Frequency Hopping signals based on compressive spatial time-frequency joint analysis

2014 IEEE 5th International Conference on Software Engineering and Service Science ◽

10.1109/icsess.2014.6933627 ◽

2014 ◽

Author(s):

Chunlei Zhang ◽

Lichun Li

Keyword(s):

Parameter Estimation ◽

Frequency Hopping ◽

Joint Analysis ◽

Time Frequency

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An adaptive time-frequency filtering algorithm for multi-component LFM signals based on generalized S-transform

2015 21st International Conference on Automation and Computing (ICAC) ◽

10.1109/iconac.2015.7314000 ◽

2015 ◽

Cited By ~ 1

Author(s):

Dianwei Wang ◽

Jing Wang ◽

Ying Liu ◽

Zhijie Xu

Keyword(s):

Frequency Filtering ◽

Time Frequency ◽

Filtering Algorithm ◽

S Transform ◽

Generalized S Transform ◽

Adaptive Time

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Analysis of Epileptic Activity Based on Brain Mapping of EEG Adaptive Time-Frequency Decomposition

Brain Informatics - Lecture Notes in Computer Science ◽

10.1007/978-3-030-05587-5_30 ◽

2018 ◽

pp. 319-328 ◽

Cited By ~ 2

Author(s):

Maximiliano Bueno-López ◽

Pablo A. Muñoz-Gutiérrez ◽

Eduardo Giraldo ◽

Marta Molinas

Keyword(s):

Brain Mapping ◽

Epileptic Activity ◽

Time Frequency ◽

Frequency Decomposition ◽

Adaptive Time

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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 ◽

Cited By ~ 27

Author(s):

Xi ◽

Hongbo Sun ◽

Tat Soon Yeo

Keyword(s):

Frequency Analysis ◽

Time Frequency Analysis ◽

Time Frequency ◽

Adaptive Time

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A Low Complexity Noise Suppressor with Hybrid Filterbanks and Adaptive Time-Frequency Tiling

10.1109/dsp.2009.4785891 ◽

2009 ◽

Author(s):

Osamu Shimada ◽

Akihiko Sugiyaima ◽

Toshiyuki Nomura

Keyword(s):

Low Complexity ◽

Time Frequency ◽

Adaptive Time

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The analysis of frequency-hopping signal acquisition based on Cohen-reassignment joint time-frequency distribution

Asia-Pacific Conference on Environmental Electromagnetics, 2003. CEEM 2003. Proceedings. ◽

10.1109/ceem.2003.238474 ◽

2003 ◽

Cited By ~ 2

Author(s):

Wang Danzhi ◽

Li Shujian ◽

Shao Dingrong

Keyword(s):

Frequency Distribution ◽

Frequency Hopping ◽

Signal Acquisition ◽

Time Frequency ◽

Time Frequency Distribution

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A Spatial Time-Frequency Hopping Index Modulated Scheme in Turbulence-free Optical Wireless Communication Channels

IEEE Transactions on Communications ◽

10.1109/tcomm.2020.2987561 ◽

2020 ◽

Vol 68 (7) ◽

pp. 4437-4450 ◽

Cited By ~ 2

Author(s):

Francisco J. Escribano ◽

Alexandre Wagemakers ◽

Georges Kaddoum ◽

Joao V. C. Evangelista

Keyword(s):

Wireless Communication ◽

Communication Channels ◽

Frequency Hopping ◽

Optical Wireless Communication ◽

Optical Wireless ◽

Time Frequency ◽

Wireless Communication Channels

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Detection of Weak Doppler Microembolic Signature using Two-Dimensional-Adaptive Time-Frequency Threshold from Spectrogram

Biomedical Signal Processing and Control ◽

10.1016/j.bspc.2019.101811 ◽

2020 ◽

Vol 57 ◽

pp. 101811

Author(s):

Sébastien Ménigot ◽

Maroun Geryes ◽

Jean-Marc Girault

Keyword(s):

Two Dimensional ◽

Time Frequency ◽

Adaptive Time ◽

Frequency Threshold

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