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Mathematical models for the improvement of detection techniques of industrial noise sources from acoustic images

机译：从声学图像改善产业噪声源检测技术的数学模型

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Francesco Asdrubali; Giorgio Baldinelli; Francesco Bianchi; Danilo Costarelli; Francesco DAlessandro; Flavio Scrucca; Marco Seracini; Gianluca Vinti;
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1. DIGITAL IMAGE PROCESSING TECHNIQUES FOR DETECTION AND REMOVAL OF NOISE IN IMAGES IMPLEMENTING BLIND SOURCE SEPARATION [J] . K Devaki Devi, Dr GN Swamy International Journal on Computer Science and Engineering . 2011,第8期

机译：用于实现盲源分离的图像中噪声检测和消除的数字图像处理技术
2. Noise-subspace-based technique-resolution improvement for acoustical imaging of concealed rods [J] . Mujahid Al-Azzo International Journal of Signal and Imaging Systems Engineering . 2011,第1期

机译：基于噪声子空间的隐藏杆声学成像技术分辨率改进
3. Detection Technique of Acoustical Center of Noise Source [J] . A. A. Taratorin, V. B. Tupov Thermal engineering . 2015,第7期

机译：噪声源声中心检测技术
4. A deterministic simulation modeling analysis for the improvement of signal-to-noise ratio (SNR) based on ambient noise sources in underwater acoustic communication channel [C] . Iqbal Humma Nargis, Shaheen Sadiqa, Qazi Hafeezullah, Proceedings of 2013 10th International Bhurban Conference on Applied Sciences amp; Technology . 2013

机译：基于环境声源的水声通信信道中提高信噪比（SNR）的确定性仿真建模与分析
5. New techniques for image de-noising, thresholding, object detection and their application to vision based collision avoidance system. [D] . Chen, Yixin. 2008

机译：图像降噪，阈值，对象检测的新技术及其在基于视觉的防撞系统中的应用。
6. Regression Models for Identifying Noise Sources in Magnetic Resonance Images [O] . Hongtu Zhu, Yimei Li, Joseph G. Ibrahim, -1

机译：用于识别磁共振图像中噪声源的回归模型
7. Innovative techniques for the improvement of industrial noise sources identification by beamforming [O] . Giorgio Baldinelli, Francesco Bianchi, Danilo Costarelli, 2021

机译：通过波束成形改善工业噪声源的创新技术
8. Acoustic Bubble Detection: Acoustic Optical Imaging Techniques for Decompression Studies [R] . Winter, D. C., Heflinger, L. O., Knox, C. 1972

机译：声学气泡检测：用于减压研究的声学光学成像技术

Mathematical models for the improvement of detection techniques of industrial noise sources from acoustic images

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