Introducing wavelets and time--frequency analysis [Introduction to the special issue]
The wavelet transform has emerged over recent years as a powerful time--frequency analysis and signal-coding tool suitable for use in the manipulation of complex nonstationary signals, and it has been in the forefront of many recent developments in biomedical and biological signal processing.
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| Veröffentlicht in: | IEEE engineering in medicine and biology magazine 2009-09, Vol.28 (5), p.13-13 |
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| container_end_page | 13 |
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| container_issue | 5 |
| container_start_page | 13 |
| container_title | IEEE engineering in medicine and biology magazine |
| container_volume | 28 |
| creator | Guido, Rodrigo C. Addison, Paul S. Walker, James |
| description | The wavelet transform has emerged over recent years as a powerful time--frequency analysis and signal-coding tool suitable for use in the manipulation of complex nonstationary signals, and it has been in the forefront of many recent developments in biomedical and biological signal processing. |
| doi_str_mv | 10.1109/MEMB.2009.934243 |
| format | Article |
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| ispartof | IEEE engineering in medicine and biology magazine, 2009-09, Vol.28 (5), p.13-13 |
| issn | 0739-5175 1937-4186 |
| language | eng |
| recordid | cdi_pubmed_primary_19775951 |
| source | IEEE Electronic Library (IEL) |
| subjects | Biomedical signal processing Biomedical Technology Continuous wavelet transforms Discrete wavelet transforms Pathology Signal analysis Signal processing Signal processing algorithms Signal Processing, Computer-Assisted Speech analysis Time Factors Wavelet analysis Wavelet transforms |
| title | Introducing wavelets and time--frequency analysis [Introduction to the special issue] |
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