论文标题
非线性传感器的线性测量：用偶然噪声识别失真
Linear measurements from nonlinear sensors: identifying distortion with incidental noise
论文作者
论文摘要
许多系统中的非线性在很大程度上取决于组件变化和环境因素，例如温度。通常，通过保持信号足够接近设备的操作点，即看起来大约是线性的，这通常可以克服。但是，随着测量的信号变得更大，线性偏差会增加，并且将超过设备的非线性规范。这限制了设备将直接产生有用的测量的范围，通常远小于设备的安全范围。
Nonlinearity in many systems is heavily dependent on component variation and environmental factors such as temperature. This is often overcome by keeping signals close enough to the device's operating point that it appears approximately linear. But as the signal being measured becomes larger, the deviation from linearity increases, and the device's nonlinearity specification will be exceeded. This limits the range over which the device will produce directly useful measurements, often to far less than the device's safe range of operation.
