Approximation performance of model functions for blind deconvolution of ultrasonic reflections

Lukoševičiūtė, Kristina; Drulyte, Migle; Svilainis, Linas

doi:10.21595/jve.2016.17240

Cited by 3 publications

(2 citation statements)

References 25 publications

(51 reference statements)

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“…The relative remainder energy (E rem ) [27] and normalized correlation coefficient (NCC) [28] are used to evaluate the…”

Section: Nakagami Distribution Modelmentioning

confidence: 99%

Separation of multi-echo overlapping ultrasonic signals for increasing the axial resolution using a neural network

Li,

Chen,

Zhang

et al. 2023

Meas. Sci. Technol.

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The ultrasonic Pulse-Echo method plays a significant role in ultrasonic thickness measurement. However, when the measured thickness is relatively thin, it is universal for the reflected ultrasonic echoes to overlap in the time domain which constrains the achievable resolution using the conventional Pulse-Echo method. A deep learning network for multi-echo overlapping ultrasonic signals separation under the constraint of an ultrasonic transducer with specific center frequency and bandwidth was proposed to enhance the axial resolution. With this model, the adaptive separation of overlapping signals with an unknown number of echoes is achieved by extracting detailed features of the overlapping signals. An overlapping signal training dataset based on truncated Nakagami functions is constructed to train the network. Simulation experiments under different degrees of overlap and noise levels were conducted for the performance analysis. Simulation results manifested the performance advantage of proposed separation method over some traditional separation methods. Further, ultrasonic thickness measurement experiments were performed on thin-walled aluminum alloy plates with various thicknesses, demonstrating feasibility and practicability of the network over traditional separation methods.

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“…The relative remainder energy (E rem ) [27] and normalized correlation coefficient (NCC) [28] are used to evaluate the…”

Section: Nakagami Distribution Modelmentioning

confidence: 99%

Separation of multi-echo overlapping ultrasonic signals for increasing the axial resolution using a neural network

Li,

Chen,

Zhang

et al. 2023

Meas. Sci. Technol.

View full text Add to dashboard Cite

show abstract

“…To test the matching ability of the Nakagami model to an ultrasonic pulse echo, comparisons are made against some other models: Gabor [19], chirplet [20], and the asymmetric Gaussian chirplet [21].…”

Section: Nakagami Distribution Dictionarymentioning

confidence: 99%

An improved matching pursuit method for overlapping echo separation in ultrasonic thickness measurement

Lian¹,

Liu²,

Bo³

et al. 2019

Meas. Sci. Technol.

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Overlapping of reflected ultrasonic echoes is a universal physical phenomenon, when the measured thickness is less than a limit threshold (e.g. 1mm for metallic materials using conventional processing methods). Generally, two typical signal states may be generated in this situation: highly overlapping and distorted overlapping. If the overlapping echoes cannot not be separated precisely, significant measurement errors will inevitably occur. In this research, an improved matching pursuit method for overlapping echo separation has been developed. To approximate the overlapping echoes, a dictionary composed of atoms with truncated Nakagami functions is constructed to replace the commonly used model, which considers scattering conditions. Furthermore, an atomic selection principle combining preselection of the remainder L2 norm and minimum L1 norm of the residual signal is presented. To reduce the correlation of the residual error in iterations and ensure the correct separation of echoes in order, the ultrasonic signal is truncated for matching based on short-time Fourier transform (STFT) analysis. Compared with some competing methods, the proposed method shows superiority in handling highly overlapping echoes and distorted echoes in both simulation and experiments of ultrasonic thickness measurement.

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Edge blurring suppression of ultrasonic reflection coefficients in contact state measurement

Wang,

Xu,

Yang

2024

NDT & E International

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Approximation performance of model functions for blind deconvolution of ultrasonic reflections

Cited by 3 publications

References 25 publications

Separation of multi-echo overlapping ultrasonic signals for increasing the axial resolution using a neural network

Separation of multi-echo overlapping ultrasonic signals for increasing the axial resolution using a neural network

An improved matching pursuit method for overlapping echo separation in ultrasonic thickness measurement

Edge blurring suppression of ultrasonic reflection coefficients in contact state measurement

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