Ultrasonic signal reestablishing method based on sparse data

A technology of ultrasonic signals and sparse data, applied in image data processing, instruments, calculations, etc., can solve the problems of no ultrasonic signal compression sensing research, large amount of calculation, etc., achieve fast calculation speed, high reconstruction accuracy, and improve reconstruction The effect of precision and speed

Inactive Publication Date: 2014-03-26
JIANGSU UNIV
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But they did not study compressive sensing of ultrasonic signals under redundant dictionaries
Studies have shown that the sparse repres

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  • Ultrasonic signal reestablishing method based on sparse data
  • Ultrasonic signal reestablishing method based on sparse data
  • Ultrasonic signal reestablishing method based on sparse data

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[0035] In order to express the embodiments, significance and advantages of the present invention more clearly, the present invention will be described in more detail below in conjunction with the accompanying drawings.

[0036] like figure 1 As shown in the flow chart of the specific steps of the method in the present invention, the Gabor atomic library is used as the sparse transform domain, and the ultrasonic signal is reconstructed through the orthogonal matching pursuit algorithm, and the artificial fish swarm algorithm is used to optimize the orthogonal matching pursuit algorithm.

[0037] figure 2 It is the reconstruction relative error of ultrasonic signal based on orthogonal matching pursuit algorithm under Gaussian random matrix, [1,-1] binary random matrix, [0,1] binary random matrix, and partially orthogonal matrix. What is used in the embodiment is an ultrasonic initial wave signal with a length of 256 and a frequency of 5 MHz. The sparse transformation domain i...

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Abstract

The invention relates to an ultrasonic signal reestablishing method based on sparse data, and belongs to the technical field of compressive sensing. Firstly, a Gabor atom library serves as a sparse transformation domain of ultrasonic signals, nonlinear transformation is carried out on the ultrasonic signals by using a measurement matrix to obtain measurement values, and original signals are reestablished through an orthogonal matching pursuit algorithm according to the measurement values and a sensing matrix. According to the ultrasonic signal reestablishing method based on the sparse data, an artificial fish school algorithm is introduced to optimize the orthogonal matching pursuit algorithm, the times of inner product calculation can be reduced, and calculation speed can be improved. The ultrasonic signal reestablishing method based on the sparse data has the advantages of being high in reestablishing accuracy and computing speed, and can be applied to fields such as data compression, transmission and storage and high resolution imaging.

Description

Technical field: [0001] The invention relates to an ultrasonic signal reconstruction method based on sparse data. The ultrasonic signal is reconstructed based on a compressed sensing theory, and an artificial fish swarm algorithm is introduced to optimize an orthogonal matching tracking algorithm, which belongs to the technical field of compressed sensing. Background technique: [0002] Due to the high frequency of ultrasonic waves, digitizing them according to the conventional Nyquist sampling theorem will bring about a huge amount of data, especially in applications such as ultrasonic sensor arrays, ultrasonic phased arrays, and high-resolution applications, which seriously restricts its application. . The idea of ​​compressed sensing emerging in recent years provides a new idea for solving the above problems. The concept of compressed sensing was first proposed by Candes and Donoho in 2006. The main idea is to perform compression and sampling at the same time. First, the...

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Application Information

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IPC IPC(8): G06T9/00G06T7/00
Inventor 宋寿鹏耿伟路欣胥保文潘海彬赵腾飞鲍丙好
Owner JIANGSU UNIV
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