Segmentation of digital signals based on estimated compression ratio

  title={Segmentation of digital signals based on estimated compression ratio},
  author={Antti Koski and Martti Juhola},
  journal={IEEE Transactions on Biomedical Engineering},
The authors have studied the problem of approximating a digital signal with a suitable continuous broken line. They use the approximative broken line for further analysis of the signal as detection of peaks, waves, and other structural features. They can also save considerable amount of storage space with an approximation that does not lose too much significant information about the original signal. The authors' work is based on examining different distance metrics and different segmentation… CONTINUE READING
7 Citations
14 References
Similar Papers


Publications referenced by this paper.
Showing 1-10 of 14 references

A semanticsyntactic recognition system based on attributed automata

  • M. Juhola A. Koski, M. Meriste
  • Proc . 3 rd Symp . Programming Lunguuges and…
  • 1993

Data compression of ECG ’ s by highdegree uolvnomial auuroximation

  • S. Cifaldi, G. Nolfe
  • IEEE Trans . Biomed . Ena .
  • 1992

Practical limitations for the estimation of P - wave and QRScomdex occurrence times

  • Rompelman, R. Janssen
  • Automedicu
  • 1992

The determination of peaks in biological waveforms,

  • R. J. Marshall
  • Comput., Biomed. Res.,
  • 1986

A comparative study of three sequential time series segmentation algorithms

  • A. V. Brandt
  • Signal Processing
  • 1983

Fast polygonal approximation of digitised curves,

  • J. Sklansky, V. Gonzales
  • Pattern Recog.,
  • 1980

Similar Papers

Loading similar papers…