Enhanced Pseudo Power Signatures for Nonstationary Signal Classiication: the Projector Approach

@inproceedings{AravenaComputational2007EnhancedPP,
  title={Enhanced Pseudo Power Signatures for Nonstationary Signal Classiication: the Projector Approach},
  author={Jorge L. AravenaComputational},
  year={2007}
}
  • Jorge L. AravenaComputational
  • Published 2007
The classiication of nonstationary signals of unknown duration is of great importance in areas like oil exploration, moving target detection, and pattern recognition. In an earlier work, we provided a solution to this problem, based on the wavelet transform, by deening representations called pseudo power signatures for signal classes which were independent of signal length, location and magnitude, and proposed a simple approach using the Singular Value Decomposition to generate these signatures… CONTINUE READING