Energy separation algorithms applied to sonar data

Energy separation algorithms (ESA) using Teagers energy operator have been used to analyze modulations in speech resonances, energy separation in bird song and in the resynthesis of musical instrument sounds. The data set used in the analysis here is from a sea trial in the Baltic Sea. A 23 ft fiberglass boat was equipped with accelerometers for source signal recordings from the engine and the hull. The sound propagated through the water was picked up with a passive hydrophone array. The analysis of the accelerometer data was used to identify frequencies associated with engine and propeller rotation. Frequency components not harmonically related to either the engine crank shaft or drive were identified in the hydrophone data. The ESA was then applied to the non-related frequencies. It is shown that ESA can be used as a tool to identify stability and time dependency of frequencies.