Segmentation of the Homogeneity of a Signal Using a Piecewise Linear Recognition Tool
Fuente:
arXiv
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| Formato: | Preprint |
| Publicado: |
2005
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| _version_ | 1866914099091210240 |
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| author | Morlier, Joseph |
| author_facet | Morlier, Joseph |
| contents | In this paper a new method of detection of homogeneous zones and singularity parts of a 1D signal is proposed. The entropy function is used to transform signal in piecewise linear one. The multiple regression permits to detect lines and project them in the Hough parameters space in order to easily recognise homogeneous zone and abrupt changes of the signal. Two application examples are analysed, the first is a classical fractal signal and the other is issued from a dynamic mechanical study. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_cs_0503086 |
| institution | arXiv |
| publishDate | 2005 |
| record_format | arxiv |
| spellingShingle | Segmentation of the Homogeneity of a Signal Using a Piecewise Linear Recognition Tool Morlier, Joseph Numerical Analysis I.5 In this paper a new method of detection of homogeneous zones and singularity parts of a 1D signal is proposed. The entropy function is used to transform signal in piecewise linear one. The multiple regression permits to detect lines and project them in the Hough parameters space in order to easily recognise homogeneous zone and abrupt changes of the signal. Two application examples are analysed, the first is a classical fractal signal and the other is issued from a dynamic mechanical study. |
| title | Segmentation of the Homogeneity of a Signal Using a Piecewise Linear Recognition Tool |
| topic | Numerical Analysis I.5 |
| url | https://arxiv.org/abs/cs/0503086 |