Measurement systems suffer from problems due to the imperfectness of sensory devices and measuring channels, and the shortage of available information concerning the investigated phenomena itself. This imperfectness and shortage result in unwanted alterations and perturbations of the measured values and/or signals. Better results can be achieved if these alterations and perturbations are counteracted. The role of the inverse algorithms is this counteraction in order to improve the quality of measurement. This paper deals with the challenging issue of addressing various complexity levels of inverse problems and provides solutions illustrated via different application examples.

中文翻译：

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逆算法——改进测量系统的强大工具

由于传感设备和测量通道的不完善以及有关所研究现象本身的可用信息的缺乏，测量系统会遇到问题。这种不完善和不足导致测量值和/或信号的不希望的改变和扰动。如果抵消这些变化和扰动，可以获得更好的结果。逆算法的作用就是为了提高测量质量的这种反作用。本文处理了解决各种复杂程度的逆问题的挑战性问题，并提供了通过不同应用示例说明的解决方案。