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Wavelet
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===Time-causal wavelets=== For processing temporal signals in real time, it is essential that the wavelet filters do not access signal values from the future as well as that minimal temporal latencies can be obtained. Time-causal wavelets representations have been developed by Szu et al <ref>{{cite journal | doi=10.1117/12.59911 | title=Causal analytical wavelet transform | year=1992 | last1=Szu | first1=Harold H. | last2=Telfer | first2=Brian A. | last3=Lohmann | first3=Adolf W. | journal=Optical Engineering | volume=31 | issue=9 | page=1825 | bibcode=1992OptEn..31.1825S }}</ref> and Lindeberg,<ref>{{cite journal |last1=Lindeberg |first1=T. |title=A time-causal and time-recursive scale-covariant scale-space representation of temporal signals and past time |journal=Biological Cybernetics |date=23 January 2023 |volume=117 |issue=1β2 |pages=21β59 |doi=10.1007/s00422-022-00953-6|pmid=36689001 |pmc=10160219 |doi-access=free }}</ref> with the latter method also involving a memory-efficient time-recursive implementation.
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