Abstract
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.
Original language | English |
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Title of host publication | Proceedings of the 7th Nordic Signal Processing Symposium - NORSIG 2006 |
Publisher | IEEE |
Pages | 218-221 |
Number of pages | 4 |
ISBN (Print) | 1424404126 |
DOIs | |
Publication status | Published - 8 Jan 2007 |
Event | 7th Nordic Signal Processing Symposium 2006 - Reykjavik, Iceland Duration: 7 Jun 2006 → 9 Jun 2006 |
Conference
Conference | 7th Nordic Signal Processing Symposium 2006 |
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Abbreviated title | NORSIG 2006 |
Country/Territory | Iceland |
City | Reykjavik |
Period | 7/06/06 → 9/06/06 |
ASJC Scopus subject areas
- Computer Science Applications
- Signal Processing
- General Mathematics