Wavelet best basis compressed sensing of ultrasonic guided waves

Alessandro Perelli; Luca De Marchi; Luca Flamigni; Alessandro Marzani; Nicolo Speciale

doi:10.1117/12.2009683

Wavelet best basis compressed sensing of ultrasonic guided waves

Alessandro Perelli, Luca De Marchi, Luca Flamigni, Alessandro Marzani, Nicolo Speciale

Biomedical Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

1 Citation (Scopus)

Abstract

A novel Compressed Sensing (CS) procedure is presented in this study for dispersive guided wave propagation analysis in passive structure health monitoring applications. The proposed approach combines theWavelet Packet multiresolution analysis, best basis selection and coefficients thresholding to generate a sparse but accurate time-frequency representation of the acquired dispersive signal, with the CS framework to efficiently compress Lamb waves signals. This approach is tested on experimental data obtained by passive excitation in a 1 m square aluminum plate and acquiring the dispersive signal with a conventional piezoelectric sensor. The proposed algorithm performance is analysed in term of compression ratio and percent residual difference. Results show the improvement in signal reconstruction with the use of the modified CS framework respect to the EZW coding, and the robustness of the proposed approach to additive noise in transmission.
© (2013) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE).

Original language	English
Title of host publication	Proceedings of SPIE - The International Society for Optical Engineering
Subtitle of host publication	Health Monitoring of Structural and Biological Systems 2013
Publisher	Society of Photo-optical Instrumentation Engineers
Volume	8695
ISBN (Print)	978-081949478-8
DOIs	https://doi.org/10.1117/12.2009683
Publication status	Published - 14 Mar 2013
Event	SPIE 8695, Health Monitoring of Structural and Biological Systems 2013: SPIE Smart Structures and Materials + Nondestructive Evaluation and Health Monitoring - San Diego, California, United States Duration: 11 Mar 2013 → 14 Mar 2013

Conference

Conference	SPIE 8695, Health Monitoring of Structural and Biological Systems 2013
Abbreviated title	SPIE 2013
Country/Territory	United States
City	California
Period	11/03/13 → 14/03/13

Keywords

Wavelet packet analysis
Best basis selection
Compressed matching pursuit
Ultrasonic guided waves
Embedded zerotree wavelet algorithm
Mother wavelet optimization

Access to Document

10.1117/12.2009683

Cite this

Perelli, A., De Marchi, L., Flamigni, L., Marzani, A., & Speciale, N. (2013). Wavelet best basis compressed sensing of ultrasonic guided waves. In Proceedings of SPIE - The International Society for Optical Engineering: Health Monitoring of Structural and Biological Systems 2013 (Vol. 8695). Article 86952Y Society of Photo-optical Instrumentation Engineers. https://doi.org/10.1117/12.2009683

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title = "Wavelet best basis compressed sensing of ultrasonic guided waves",

abstract = "A novel Compressed Sensing (CS) procedure is presented in this study for dispersive guided wave propagation analysis in passive structure health monitoring applications. The proposed approach combines theWavelet Packet multiresolution analysis, best basis selection and coefficients thresholding to generate a sparse but accurate time-frequency representation of the acquired dispersive signal, with the CS framework to efficiently compress Lamb waves signals. This approach is tested on experimental data obtained by passive excitation in a 1 m square aluminum plate and acquiring the dispersive signal with a conventional piezoelectric sensor. The proposed algorithm performance is analysed in term of compression ratio and percent residual difference. Results show the improvement in signal reconstruction with the use of the modified CS framework respect to the EZW coding, and the robustness of the proposed approach to additive noise in transmission.{\textcopyright} (2013) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE).",

keywords = "Wavelet packet analysis, Best basis selection, Compressed matching pursuit, Ultrasonic guided waves, Embedded zerotree wavelet algorithm, Mother wavelet optimization",

author = "Alessandro Perelli and {De Marchi}, Luca and Luca Flamigni and Alessandro Marzani and Nicolo Speciale",

year = "2013",

month = mar,

day = "14",

doi = "10.1117/12.2009683",

language = "English",

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booktitle = "Proceedings of SPIE - The International Society for Optical Engineering",

publisher = "Society of Photo-optical Instrumentation Engineers",

address = "United States",

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Perelli, A, De Marchi, L, Flamigni, L, Marzani, A & Speciale, N 2013, Wavelet best basis compressed sensing of ultrasonic guided waves. in Proceedings of SPIE - The International Society for Optical Engineering: Health Monitoring of Structural and Biological Systems 2013. vol. 8695, 86952Y, Society of Photo-optical Instrumentation Engineers, SPIE 8695, Health Monitoring of Structural and Biological Systems 2013, California, United States, 11/03/13. https://doi.org/10.1117/12.2009683

Wavelet best basis compressed sensing of ultrasonic guided waves. / Perelli, Alessandro; De Marchi, Luca; Flamigni, Luca et al.
Proceedings of SPIE - The International Society for Optical Engineering: Health Monitoring of Structural and Biological Systems 2013. Vol. 8695 Society of Photo-optical Instrumentation Engineers, 2013. 86952Y.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

TY - GEN

T1 - Wavelet best basis compressed sensing of ultrasonic guided waves

AU - Perelli, Alessandro

AU - De Marchi, Luca

AU - Flamigni, Luca

AU - Marzani, Alessandro

AU - Speciale, Nicolo

PY - 2013/3/14

Y1 - 2013/3/14

N2 - A novel Compressed Sensing (CS) procedure is presented in this study for dispersive guided wave propagation analysis in passive structure health monitoring applications. The proposed approach combines theWavelet Packet multiresolution analysis, best basis selection and coefficients thresholding to generate a sparse but accurate time-frequency representation of the acquired dispersive signal, with the CS framework to efficiently compress Lamb waves signals. This approach is tested on experimental data obtained by passive excitation in a 1 m square aluminum plate and acquiring the dispersive signal with a conventional piezoelectric sensor. The proposed algorithm performance is analysed in term of compression ratio and percent residual difference. Results show the improvement in signal reconstruction with the use of the modified CS framework respect to the EZW coding, and the robustness of the proposed approach to additive noise in transmission.© (2013) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE).

AB - A novel Compressed Sensing (CS) procedure is presented in this study for dispersive guided wave propagation analysis in passive structure health monitoring applications. The proposed approach combines theWavelet Packet multiresolution analysis, best basis selection and coefficients thresholding to generate a sparse but accurate time-frequency representation of the acquired dispersive signal, with the CS framework to efficiently compress Lamb waves signals. This approach is tested on experimental data obtained by passive excitation in a 1 m square aluminum plate and acquiring the dispersive signal with a conventional piezoelectric sensor. The proposed algorithm performance is analysed in term of compression ratio and percent residual difference. Results show the improvement in signal reconstruction with the use of the modified CS framework respect to the EZW coding, and the robustness of the proposed approach to additive noise in transmission.© (2013) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE).

KW - Wavelet packet analysis

KW - Best basis selection

KW - Compressed matching pursuit

KW - Ultrasonic guided waves

KW - Embedded zerotree wavelet algorithm

KW - Mother wavelet optimization

U2 - 10.1117/12.2009683

DO - 10.1117/12.2009683

M3 - Conference contribution

SN - 978-081949478-8

VL - 8695

BT - Proceedings of SPIE - The International Society for Optical Engineering

PB - Society of Photo-optical Instrumentation Engineers

T2 - SPIE 8695, Health Monitoring of Structural and Biological Systems 2013

Y2 - 11 March 2013 through 14 March 2013

ER -

Wavelet best basis compressed sensing of ultrasonic guided waves

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