Editing Chirplet transform (section)

==Applications==
[[Image:P-type-chirplets-for-image-processing.png|thumb|245px|(a) In image processing, periodicity is often subject to projective geometry (i.e. chirping that arises from projection). (b) In this image, repeating structures like the alternating dark space inside the windows, and light space of the white concrete, ''chirp'' (increase in frequency) towards the right. (c) The chirplet transform is able to represent this modulated variation compactly.]]

The first practical application of the chirplet transform was in water-human-computer interaction (WaterHCI) for marine safety, to assist vessels in navigating through ice-infested waters, using marine radar to detect growlers (small iceberg fragments too small to be visible on conventional radar, yet large enough to damage a vessel).<ref>Mann, Steve, and Simon Haykin. "The chirplet transform: A generalization of Gabor’s logon transform." Vision interface. Vol. 91. 1991.</ref><ref>WaterHCI Part 1: Open Water Monitoring
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(IEEE SPICES 2022), 10 - 12 MARCH, 2022, Nalanchira, Trivandrum, Kerala, India, 6 pages</ref>

Other applications of the chirplet transform in WaterHCI include the SWIM (Sequential Wave Imprinting Machine).<ref name="Mann, Steve 1992">Mann, Steve. "Time-Frequency" Perspectives”." Advances in Machine Vision: Strategies and Applications 32 (1992): 99.</ref><ref>Mann, Steve, et al. "Water-Human-Computer-Interface (WaterHCI): Crossing the Borders of Computation, Clothes, Skin, and Surface."</ref>

More recently other practical applications have been developed, including image processing (e.g. where there is periodic structure imaged through projective geometry),<ref name="Mann, Steve 1992"/><ref>Mann, Steve, and Simon Haykin. "Adaptive." Optical Engineering 31.6 (1992): 1243-1256.</ref>
as well as to excise chirp-like interference in spread spectrum communications,<ref>{{cite conference |mode=cs2 | last1 = Bultan
 | first1 = A.
 | date = May 1998
|book-title=Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
 | volume = 6
 | issue =4
 | pages =3265–3268
 | doi =10.1109/ICASSP.1998.679561
|title=A novel time-frequency exciser in spread spectrum communications for chirp-like interference
 | last2 = Akansu
 | first2 = A.N.
 | isbn = 0-7803-4428-6
 }}</ref> in EEG processing,<ref>{{Citation
 |last1        = Cui
 |first1       = J.
 |date         = 17 February 2005
 |title        = Time–frequency analysis of visual evoked potentials using chirplet transform
 |periodical   = Electronics Letters
 |volume       = 41
 |issue        = 4
 |pages        = 217–218
 |url          = http://www.eyetap.org/papers/docs/CuiTime_frequency_chirplet_vep.pdf
 |doi          = 10.1049/el:20056712
 |accessdate   = 2010-07-29
 |last2        = Wong
 |first2       = W.
 |last3        = Mann
 |first3       = S.
 |bibcode      = 2005ElL....41..217C
 |archive-date = 2011-07-16
 |archive-url  = https://web.archive.org/web/20110716055615/http://www.eyetap.org/papers/docs/CuiTime_frequency_chirplet_vep.pdf
 |url-status   = dead
}}</ref> and Chirplet Time Domain Reflectometry.<ref>{{Cite web | url=http://zone.ni.com/devzone/cda/epd/p/id/5684 | title=Example Programs - National Instruments | access-date=2007-12-31 | archive-url=https://web.archive.org/web/20120214211037/http://zone.ni.com/devzone/cda/epd/p/id/5684 | archive-date=2012-02-14 | url-status=dead }}</ref>