In this paper, a procedure for the detection of the sources of industrial noise and the evaluation of their distances is introduced. The above method is based on the analysis of acoustic and optical data recorded by an acoustic camera. In order to improve the resolution of the data, interpolation and quasi interpolation algorithms for digital data processing have been used, such as the bilinear, bicubic, and sampling Kantorovich (SK). The experimental tests show that the SK algorithm allows to perform the above task more accurately than the other considered methods.

中文翻译：

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用于改进声学图像工业噪声源检测技术的数学模型

在本文中，介绍了工业噪声源的检测和距离评估的程序。上述方法基于对声学相机记录的声学和光学数据的分析。为了提高数据的分辨率，数字数据处理中使用了插值和准插值算法，如双线性、双三次和采样Kantorovich (SK)。实验测试表明，SK 算法可以比其他考虑的方法更准确地执行上述任务。