Ocean ambient noise classification using soft techniques - OANCST

Abstract

Software applied in the device to filter the unwanted noise and pick up only the desired signal as information in any underwater acoustic signal processor is our aim As the explosion of population is giving stress to the natural wealth, human beings have to look the 70% occupied ocean for help in meeting the food, shelter, etc. so, every nation is expanding the ocean exploration for protein rich food and energy including minerals. In such effort that deploy electronic devices with underwater towable sensors. In such case, while tuning the sensor is highly disturbed by the speed of the vessel the noise from the propeller waves, currents, tides, organic lives in the sea, other anthropogenic activities like sinking ships, speed boats, water sports, etc. Learning all these noises, an explorer prefers to have a sensor which is capable of filtering everything excepts the pulse noise generated from particular instrument. But for that, it is difficult to detect the targets and chosen feature. Many practical problems faced during the exploration, as strong motivation among the scientists have thought this part of studies. © 2012 Springer-Verlag.