Detection of echoes using time-frequency analysis techniques

The following is a presentation of echo detection techniques based on time-frequency signal analysis for the measuring of thickness in thin multilayer structures. These techniques are shown to provide high-resolution signal characterization in a time-frequency space, and good noise rejection performance. In particular, the short-time Fourier transform, the Gabor expansion, the cross-ambiguity function and the Wigner-Ville distribution are analyzed and compared with techniques such as the logarithmic power spectrum, cepstrum and the segmented chirp Z-Transform. A suitable operating procedure was set up, based on an initial emulation phase in which simulated signals were considered, followed by a second phase in which real signals were processed. The results show the optimum performances of these new techniques compared with the traditional ones and, in particular, that the accurate measurement of thickness can be obtained also when waveform transients partially overlap.

[1]  P.L. Carson,et al.  What a Hospital Physicist Needs in a Transducer Characterization Standard: Are Tissue-Equivalent Test Objects Necessary? , 1979, IEEE Transactions on Sonics and Ultrasonics.

[2]  Ljubisa Stankovic,et al.  A method for time-frequency analysis , 1994, IEEE Trans. Signal Process..

[3]  Boualem Boashash,et al.  Note on the use of the Wigner distribution for time-frequency signal analysis , 1988, IEEE Trans. Acoust. Speech Signal Process..

[4]  F. Dunn,et al.  In Vivo Measurement of Thickness or of Speed of Sound in Biological Tissue Structures , 1983, IEEE Transactions on Sonics and Ultrasonics.

[5]  Boualem Boashash,et al.  Estimating and interpreting the instantaneous frequency of a signal. II. A/lgorithms and applications , 1992, Proc. IEEE.

[6]  Boualem Boashash,et al.  Polynomial Wigner-Ville distributions and their relationship to time-varying higher order spectra , 1994, IEEE Trans. Signal Process..

[7]  F. Hlawatsch,et al.  Linear and quadratic time-frequency signal representations , 1992, IEEE Signal Processing Magazine.

[8]  E. Wigner On the quantum correction for thermodynamic equilibrium , 1932 .

[9]  Reinhold Ludwig,et al.  The chirp-Z transform applied to adhesively bonded structures , 1991 .

[10]  Benjamin Friedlander,et al.  Detection of transient signals by the Gabor representation , 1989, IEEE Trans. Acoust. Speech Signal Process..

[11]  Boualem Boashash,et al.  Estimating and interpreting the instantaneous frequency of a signal. I. Fundamentals , 1992, Proc. IEEE.

[12]  J. Ophir,et al.  Optimization of speed-of-sound estimation from noisy ultrasonic signals , 1989, IEEE Transactions on Ultrasonics, Ferroelectrics and Frequency Control.

[13]  S. Tane,et al.  The microscopic biometry of the thickness of human retina, choroid and sclera by ultrasound , 1987 .

[14]  Richard S. Orr Derivation of Gabor transform relations using Bessel's equality , 1993, Signal Process..

[15]  L. Cohen,et al.  Time-frequency distributions-a review , 1989, Proc. IEEE.

[16]  Robert J. Marks,et al.  The use of cone-shaped kernels for generalized time-frequency representations of nonstationary signals , 1990, IEEE Trans. Acoust. Speech Signal Process..

[17]  Shie Qian,et al.  Discrete Gabor transform , 1993, IEEE Trans. Signal Process..

[18]  Boualem Boashash,et al.  An efficient real-time implementation of the Wigner-Ville distribution , 1987, IEEE Trans. Acoust. Speech Signal Process..

[19]  Richard Tolimieri,et al.  Computing decimated finite cross-ambiguity functions , 1988, IEEE Trans. Acoust. Speech Signal Process..

[20]  D J Coleman,et al.  In vivo choroidal thickness measurement. , 1979, American journal of ophthalmology.

[21]  Richard S. Orr,et al.  The Order of Computation for Finite Discrete Gabor Transforms , 1993, IEEE Trans. Signal Process..

[22]  J.B. Allen,et al.  A unified approach to short-time Fourier analysis and synthesis , 1977, Proceedings of the IEEE.

[23]  Pasquale Daponte,et al.  Detection of echoes in noisy environments for multilayer structure characterization , 1993 .

[24]  Izidor Gertner,et al.  The discrete Zak transform application to time-frequency analysis and synthesis of nonstationary signals , 1991, IEEE Trans. Signal Process..

[25]  Shunsuke Sato,et al.  A time-frequency distribution of Cohen's class with a compound kernel and its application to speech signal processing , 1994, IEEE Trans. Signal Process..

[26]  Augustus J. E. M. Janssen The Zak transform and some counterexamples in time-frequency analysis , 1992, IEEE Trans. Inf. Theory.

[27]  Cepstrum technique for multilayer structure characterization , 1990, IEEE Symposium on Ultrasonics.

[28]  R.W. Schafer,et al.  Digital representations of speech signals , 1975, Proceedings of the IEEE.

[29]  A. Trotta,et al.  Application of Wigner-Ville distribution to measurements on transient signals , 1993, 1993 IEEE Instrumentation and Measurement Technology Conference.

[30]  Douglas L. Jones,et al.  A signal-dependent time-frequency representation: fast algorithm for optimal kernel design , 1994, IEEE Trans. Signal Process..

[31]  Boualem Boashash,et al.  A methodology for detection and classification of some underwater acoustic signals using time-frequency analysis techniques , 1990, IEEE Trans. Acoust. Speech Signal Process..

[32]  Moshe Porat,et al.  Can one evaluate the Gabor expansion using Gabor's iterative algorithm? , 1992, IEEE Trans. Signal Process..