Wavelet best basis compressed sensing of ultrasonic guided waves

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

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)


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 languageEnglish
Title of host publicationProceedings of SPIE - The International Society for Optical Engineering
Subtitle of host publicationHealth Monitoring of Structural and Biological Systems 2013
PublisherSociety of Photo-optical Instrumentation Engineers
ISBN (Print)978-081949478-8
Publication statusPublished - 14 Mar 2013
EventSPIE 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 201314 Mar 2013


ConferenceSPIE 8695, Health Monitoring of Structural and Biological Systems 2013
Abbreviated titleSPIE 2013
Country/TerritoryUnited States


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


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