Stationarity Analysis of Ambient Noise in the Baltic Sea

Most signal processing techniques are only valid if the assumption of stationarity is true. This is the basis for making reliable and consistent estimates. Stochastic processes can be categorised by their stationarity properties ranging from stationary to non-stationary processes. The degree of stationary has implications on a number of factors in signal processing, but mainly on the level of reliability of any estimate. Estimates from highly non-stationary data can at times be so bad that the variance of the estimate is by far greater than the estimate itself. In this paper, the degree of stationarity is addressed from a stationarity length point of view and sonar data is tested using the Kolmogorov-Smirnov two sample test