Damage Identification of Truss Structure Using Power Spectral Density Estimation

Mapping Intimacies ◽

10.14257/astl.2015.100.14 ◽

2015 ◽

Author(s):

Hee-Chang Eun ◽

Dong-Ho Cho ◽

Young-Jun Ahn ◽

Seung-Guk Lee

Keyword(s):

Spectral Density ◽

Density Estimation ◽

Power Spectral Density ◽

Damage Identification ◽

Truss Structure ◽

Spectral Density Estimation ◽

Power Spectral ◽

Power Spectral Density Estimation

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Multi-Channel late reverberation power spectral density estimation based on nuclear norm minimization

2017 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA) ◽

10.1109/waspaa.2017.8170003 ◽

2017 ◽

Author(s):

Ina Kodrasi ◽

Simon Doclo

Keyword(s):

Spectral Density ◽

Density Estimation ◽

Power Spectral Density ◽

Nuclear Norm ◽

Nuclear Norm Minimization ◽

Spectral Density Estimation ◽

Norm Minimization ◽

Power Spectral ◽

Power Spectral Density Estimation

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A reconstruction method for graph signals based on the power spectral density estimation

Digital Signal Processing ◽

10.1016/j.dsp.2021.103347 ◽

2022 ◽

Vol 122 ◽

pp. 103347

Author(s):

Zhihua Yang ◽

Guangrui Yang ◽

Lihua Yang ◽

Qian Zhang

Keyword(s):

Spectral Density ◽

Density Estimation ◽

Power Spectral Density ◽

Reconstruction Method ◽

Spectral Density Estimation ◽

Power Spectral ◽

Power Spectral Density Estimation

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Power Spectral Density Estimation Using Statistical Smoothing of the Linear Difference Model Parameters of the Random Time Series

2019 International Multi-Conference on Industrial Engineering and Modern Technologies (FarEastCon) ◽

10.1109/fareastcon.2019.8934923 ◽

2019 ◽

Author(s):

V.N. Yakimov ◽

A.V. Mashkov ◽

P.K. Lange ◽

E.E. Yaroslavkina

Keyword(s):

Time Series ◽

Spectral Density ◽

Density Estimation ◽

Power Spectral Density ◽

Random Time ◽

Model Parameters ◽

Difference Model ◽

Spectral Density Estimation ◽

Power Spectral ◽

Power Spectral Density Estimation

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Phase Noise Power Spectral Density Estimation in Cascaded Automotive Radar Transceiver MMICs

2018 52nd Asilomar Conference on Signals, Systems, and Computers ◽

10.1109/acssc.2018.8645074 ◽

2018 ◽

Author(s):

Michael Gerstmair ◽

Alexander Melzer ◽

Alexander Onic ◽

Mario Huemer

Keyword(s):

Spectral Density ◽

Phase Noise ◽

Density Estimation ◽

Power Spectral Density ◽

Noise Power ◽

Automotive Radar ◽

Spectral Density Estimation ◽

Noise Power Spectral Density ◽

Power Spectral ◽

Power Spectral Density Estimation

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Spline windows for power spectral density estimation

ISSCS 2011 - International Symposium on Signals, Circuits and Systems ◽

10.1109/isscs.2011.5978753 ◽

2011 ◽

Author(s):

Lucian Stanciu ◽

Cristian Stanciu

Keyword(s):

Spectral Density ◽

Density Estimation ◽

Power Spectral Density ◽

Spectral Density Estimation ◽

Power Spectral ◽

Power Spectral Density Estimation

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An evaluation of noise power spectral density estimation algorithms in adverse acoustic environments

2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) ◽

10.1109/icassp.2011.5947389 ◽

2011 ◽

Author(s):

Jalal Taghia ◽

Jalil Taghia ◽

Nasser Mohammadiha ◽

Jinqiu Sang ◽

Vaclav Bouse ◽

...

Keyword(s):

Spectral Density ◽

Density Estimation ◽

Power Spectral Density ◽

Noise Power ◽

Spectral Density Estimation ◽

Estimation Algorithms ◽

Noise Power Spectral Density ◽

Power Spectral ◽

Acoustic Environments ◽

Power Spectral Density Estimation

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Task-Oriented Comparison of Power Spectral Density Estimation Methods for Quantifying Acoustic Attenuation in Diagnostic Ultrasound Using a Reference Phantom Method

Ultrasonic Imaging ◽

10.1177/0161734613495524 ◽

2013 ◽

Vol 35 (3) ◽

pp. 214-234 ◽

Author(s):

Ivan M. Rosado-Mendez ◽

Kibo Nam ◽

Timothy J. Hall ◽

James A. Zagzebski

Keyword(s):

Spectral Density ◽

Density Estimation ◽

Power Spectral Density ◽

Estimation Methods ◽

Acoustic Attenuation ◽

Spectral Density Estimation ◽

Power Spectral ◽

Reference Phantom ◽

Task Oriented ◽

Power Spectral Density Estimation

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Late reverberant power spectral density estimation based on an eigenvalue decomposition

2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) ◽

10.1109/icassp.2017.7952228 ◽

2017 ◽

Author(s):

Ina Kodrasi ◽

Simon Doclo

Keyword(s):

Spectral Density ◽

Density Estimation ◽

Power Spectral Density ◽

Eigenvalue Decomposition ◽

Spectral Density Estimation ◽

Power Spectral ◽

Power Spectral Density Estimation

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Non-stationary noise power spectral density estimation based on regional statistics

2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) ◽

10.1109/icassp.2016.7471661 ◽

2016 ◽

Author(s):

Xiaofei Li ◽

Laurent Girin ◽

Sharon Gannot ◽

Radu Horaud

Keyword(s):

Spectral Density ◽

Density Estimation ◽

Power Spectral Density ◽

Noise Power ◽

Spectral Density Estimation ◽

Stationary Noise ◽

Noise Power Spectral Density ◽

Power Spectral ◽

Power Spectral Density Estimation

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A New Kalman Filter-based Power Spectral Density Estimation for Nonstationary Pressure Signals

2006 IEEE International Conference on Acoustics Speed and Signal Processing Proceedings ◽

10.1109/iscas.2006.1692911 ◽

2006 ◽

Author(s):

Z.G. Zhang ◽

W.Y. Lau ◽

S.C. Chan

Keyword(s):

Kalman Filter ◽

Spectral Density ◽

Density Estimation ◽

Power Spectral Density ◽

Spectral Density Estimation ◽

Power Spectral ◽

Power Spectral Density Estimation

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