Digital Signal Processing to Enhance Oceanographic Observations
Digital Signal Processing to Enhance Oceanographic Observations
复制标题
数字信号处理增强海洋观测
DOI：
--
复制
发表时间：
1994
期刊：
影响因子：
--
通讯作者：
R. Lueck
中科院分区：
文献类型：
--
作者：
T. Mudge;R. Lueck
摘要量化噪声是连续物理信号与其离散整数近似之间的差异，是数据采样不可避免的结果。这个问题对于海洋学数据尤其严重，因为这些信号通常是红色的，而量化噪声是白色的，这种光谱失配限制了我们检测短期（高频）波动的能力。提出了一种预加重和去卷积的方法，该方法减少了量化噪声，并增加了短期波动的分辨率，而不减少测量的满量程范围。举例说明了一个12位温度计，量程为−5°至35°C，分辨率为60 µ°C，以及一个14位压力计，量程为600 db，分辨率为1 × 10−4 db。预加重包括在采样之前对信号及其缩放的时间导数求和。通过将预加重后的信号与一个圆盘卷积来恢复信号的增强版本。
Abstract Quantization noise, the difference between a continuous physical signal and its discrete integer approximation, is an unavoidable consequence of data sampling. The problem is particularly acute for oceanographic data because these signals are usually red while the quantization noise is white, and this spectral mismatch limits our ability to detect short-term (high-frequency) fluctuations. A method of preemphasis and deconvolution is presented that reduces quantization noise and increases the resolution of short-term fluctuations by a factor of several hundred without any reduction in the full-scale range of the measurements. Examples are presented of a 12-bit thermometer with a range of −5° to 35°C and a resolution of 60 µ°C, and a 14-bit pressure gauge with a range of 600 db and a resolution of 1 × 10−4 db. The preemphasis consists of summing a signal and its scaled time derivative before sampling. The enhanced version of the signal is recovered by convolving the preemphasized signal with a disc...