Optimisation of Signal-to-Noise Ratio in Electrical and Electromagnetic Investigations

电学和电磁学研究中信噪比的优化。电和电磁地球物理方法已广泛用于矿产勘探，并在盐度测绘和污染物识别方面发挥作用。为了提高这些方法对极浅目标（在盐度情况下）和深目标（风化层下的矿物）的效用，需要改进信号处理方法。该项目涉及使用鲁棒统计方法和远程参考开发时间序列处理技术，以提高信噪比数据质量。现场数据采集和解释需要仪器硬件和软件开发，应用于直流（DC）电阻率，感应极化（IP）和时域EM （TEM）。

Optimisation of Signal-to-Noise Ratio in Electrical and Electromagnetic Investigations. Electrical and electromagnetic geophysical methods have been used extensively for mineral exploration, and are developing a role in salinity mapping and contaminant identification. To enhance the utility of such methods for very shallow targets (in the case of salinity) and deep targets (minerals beneath regolith)improved signal processing methods are required. The project involves the development of time-series processing techniques using robust-statistical methods and remote-referencing to improve signal-to-noise data quality. Instrumentation hardware and software developments are required for in-field data acquisition and interpretation, applied to direct current (DC) resistivity, induced polarisation (IP) and time-domain EM (TEM).