By Topic

Stationarity Analysis of Ambient Noise in the Baltic Sea

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$33 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

4 Author(s)
M. J. Levonen ; Department of Signal Processsing, Division of Systems Technology, Swedish Defense Research Agency, FOI ; R. K. Lennartsson ; L. Persson ; S. McLaughlin

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

Published in:

Proceedings of the 7th Nordic Signal Processing Symposium - NORSIG 2006

Date of Conference:

7-9 June 2006