This paper presents relations between real-world phenomena, sensors and measurement methods that without applied simplifications are generally nonlinear. The article is built upon real-world examples which directly affect quality of human life or straightforwardly refer to life itself. First, the health of a human being is investigated. Next, attention is moved towards measurements of water and air quality. We conclude with an observation that commonly demanded linear characteristics of a measurement system are feasible with nonlinear methods of signal and data processing.

中文翻译：

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环境和生物测量中的非线性方法


本文介绍了现实世界现象、传感器和测量方法之间的关系，如果不进行简化，这些关系通常是非线性的。本文建立在直接影响人类生活质量或直接涉及生活本身的现实世界例子的基础上。首先，调查人类的健康状况。接下来，注意力转向水和空气质量的测量。我们得出的结论是，测量系统通常要求的线性特性可以通过信号和数据处理的非线性方法实现。