A Low Frequency Monitoring Network has been under development at Naval Command, Control and Ocean Surveillance Center (NCCOSC), Research, Development, Test and Evaluation Division (RDT & E), San Diego, CA, for the last 2 years. Originally developed to monitor space vehicle induced signatures in the 5–12 Hz region, the network now includes monitoring of anomolous broadband signals in the 0.1–20 Hz region that often precede the occurrence of nearby earthquakes. Observations of such events have led to a hypothesis that geological signals are normally present in the ULF (ultra-low frequency, less than 3 Hz) and ELF (extremely low frequency, 3–3000 Hz) bands in addition to the generally accepted signals from micropulsations and lightning discharges. In Southern California, the geological signals are best observed in the ‘polarimetric window’ regions of (i) 2–5 Hz using horizontally oriented magnetic sensors and, (ii) 2–20 Hz using vertically oriented magnetic sensors. To determine the significance of anomalous events, we conducted a statistical study of the background noise levels. Observations of daily records over a span of several months indicated that the background level in the 1–20 Hz region is stationary. Stationarity is not true below 1 Hz. The APD (amplitude probability density) of 2–12 Hz signals was found to be surprisingly close to a Gaussian distribution. These two results indicated that a determination of long-term averages and variances would be meaningful. Long-term averages and variances were obtained and were used to develop alert-level criteria. Typical deviations over the course of several hours are 1 to 2 dB. The alert-level criteria are used as input parameters in our Automated Monitoring System (AMS), a computerized monitoring and real-time analysis system. The alert levels warn the operator when unusual events are occurring. High alert-levels in conjunction with the fulfilment of several other conditions often presage the occurrence of an earthquake. These other conditions include: (i) persistence of the elevation of the signals; (ii) the existence of resonance lines in the window region of the power spectrum; (iii) the Schumann peaks remaining relatively normal. Several examples of broadband precursor emissions are shown as well as a table listing all nearby moderate/large quakes that occurred during the research period and the correlation with our data base. The table showed that the periods preceding nearby quakes are usually associated with higher than average background levels in the 3–4 Hz region. The general conclusions are that more systematic research is needed, many more monitoring stations are needed, and full tri-axial electric and magnetic monitoring are required.