Sparse deconvolution method for improving the time-resolution of ultrasonic NDE signals

NDT and E International

Volumn 42, Issue 5, 2009, Pages 430-434

  Wei, Liang ^a   Huang, Zuo ying ^b   Que, Pei wen ^b  

^a UNIVERSITY OF ELECTRONIC SCIENCE AND TECHNOLOGY OF CHINA   (China)

^b SHANGHAI JIAO TONG UNIVERSITY   (China)

Author keywords

MP; Over complete dictionary; Sparse deconvolution; TOA

Indexed keywords

DECONVOLUTION METHODS; HIGH RESOLUTIONS; MATCHING PURSUITS; MP; NON-DESTRUCTIVE EVALUATIONS; OVER-COMPLETE DICTIONARY; PULSE-ECHO WAVELETS; REASONABLE ACCURACIES; REFLECTIVITY FUNCTIONS; SPARSE DECONVOLUTION; STEEL SAMPLES; TIME OF ARRIVALS; TIME OF FLIGHTS; TIME RESOLUTIONS; TOA; ULTRASONIC DATUM; ULTRASONIC NDE; ULTRASONIC PULSE; ULTRASONIC SIGNALS; WEIGHTING MATRICES;

CONVOLUTION; DECONVOLUTION; REFLECTION;

ULTRASONICS;

EID: 67349174247     PISSN: 09638695     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.ndteint.2009.01.009     Document Type: Article

References (13)

1. Nandi A.K., Mampel D., and Roscher B. Blind deconvolution of ultrasonic signals in non-destructive testing applications. IEEE Transactions on Signal Processing 45 (1997) 1382-1389
2. Cassereau D., Guyomar D., and Fink M. Time deconvolution of diffraction effects-application to calibration and prediction of transducer waveforms. Journal of the Acoustical Society of America 84 (1988) 1073-1085
3. Olofsson T. Deconvolution and model-based restoration of clipped ultrasonic signals. IEEE transactions on instrumentation and measurement 54 (2005) 1235-1240
4. Lee J.Y., and Nandi A.K. Extraction of impacting signals using blind deconvolution. Journal of Sound and Vibration 232 (2000) 945-962
5. Wiggins R.A. Minimum entropy deconvolution. Geophysical Exploration 16 (1978) 21-35
6. Nandi A.K. Blind identification of FIR systems using third order cumulates. Signal Processing 39 (1994) 131-147
7. Nandi A.K., and Mehlan R. Parameter estimation and phase reconstruction of moving average processes using third-order cumulants. Mechanical Systems and Signal Processing 8 (1994) 421-436
8. Gorodnitsky I.F., and Rao B.D. Sparse signal reconstruction from limited data using FOCUSS: a re-weighted minimum norm algorithm. IEEE Transactions on Signal Processing 45 (1997) 600-616
9. Liu H.H., Gao X.R., and Schimpf P.H. A recursive algorithm for the three-dimensional imaging of brain electric activity. Shrinking LORETA-FOCUSS 51 (2004) 1794-1802
10. Liang W., Lei H.M., and Que P.W. Sparsity enhancement for blind deconvolution of ultrasonic signals in nondestructive testing application. Review of Scientific Instruments 79 (2008) 014901
11. Mallat S., and Zhang Z. Matching pursuits with time-frequency dictionaries. IEEE Transactions on Signal Processing 41 (1993) 3397
12. Ruiz-Reyes N., Vera-Candeas P., and Curpián-Alonso J. New matching pursuit-based algorithm for SNR improvement in ultrasonic NDT. NDT & E International 38 (2005) 453
13. Liang W., Que P.W., Lei H.M., et al. Matching pursuit for decomposition and approximation of ultrasonic pulse-echo wavelet and its application in ultrasonic nondestructive evaluation. Review of Scientific Instruments 79 7 (2008) 075105