Literature DB >> 27586747

A blind deconvolution method for attenuative materials based on asymmetrical Gaussian model.

Haoran Jin1, Jian Chen2, Keji Yang1.   

Abstract

During propagation in attenuative materials, ultrasonic waves are distorted by frequency-dependent acoustic attenuation. As a result, reference signals for blind deconvolution in attenuative materials are asymmetrical and should be accurately estimated by considering attenuation. In this study, an asymmetrical Gaussian model is established to estimate the reference signals from these materials, and a blind deconvolution method based on this model is proposed. Based on the symmetrical Gaussian model, the asymmetrical one is formulated by adding an asymmetrical coefficient. Upon establishing the model, the reference signal for blind deconvolution is determined via maximum likelihood estimation, and the blind deconvolution is implemented with an orthogonal matching pursuit algorithm. To verify the feasibility of the established model, spectra of ultrasonic signals from attenuative polyethylene plates with different thicknesses are measured and estimated. The proposed blind deconvolution method is applied to the A-scan signal and B-scan image from attenuative materials. Results demonstrate that the proposed method is capable of separating overlapping echoes and therefore achieves a high temporal resolution.

Entities:  

Year:  2016        PMID: 27586747     DOI: 10.1121/1.4961007

Source DB:  PubMed          Journal:  J Acoust Soc Am        ISSN: 0001-4966            Impact factor:   1.840


  1 in total

1.  Sparse Blind Deconvolution with Nonconvex Optimization for Ultrasonic NDT Application.

Authors:  Xuyang Gao; Yibing Shi; Kai Du; Qi Zhu; Wei Zhang
Journal:  Sensors (Basel)       Date:  2020-12-04       Impact factor: 3.576

  1 in total

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