Orthogonal Hilbert Transform Filter Banks and Wavelets

dc.citation.bibtexNameinproceedingsen_US
dc.citation.conferenceNameIEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP)en_US
dc.citation.firstpage505
dc.citation.lastpage508
dc.citation.locationHong Kong, Chinaen_US
dc.citation.volumeNumber6en_US
dc.contributor.authorvan Spaendonck, Rutgeren_US
dc.contributor.authorBlu, Thierryen_US
dc.contributor.authorBaraniuk, Richard G.en_US
dc.contributor.authorVetterli, Martinen_US
dc.contributor.orgDigital Signal Processing (http://dsp.rice.edu/)en_US
dc.date.accessioned2007-10-31T01:07:31Z
dc.date.available2007-10-31T01:07:31Z
dc.date.issued2003-04-01en
dc.date.modified2006-06-20en_US
dc.date.note2006-06-06en_US
dc.date.submitted2003-04-01en_US
dc.descriptionConference Paperen_US
dc.description.abstractComplex wavelet transforms offer the opportunity to perform directional and coherent processing based on the local magnitude and phase of signals and images. Although denoising, segmentation, and image enhancement are significantly improved using complex wavelets, the redundancy of most current transforms hinders their application in compression and related problems. In this paper we introduce a new orthonormal complex wavelet transform with no redundancy for both real- and complex-valued signals. The transform's filter bank features a real low pass filter and two complex high pass filters arranged in a critically sampled three-band structure. Placing symmetry and orthogonality constraints on these filters, we find that each high-pass filter can be factored into a real high pass filter followed by an approximate Hilbert transform filter.en_US
dc.identifier.citationR. van Spaendonck, T. Blu, R. G. Baraniuk and M. Vetterli, "Orthogonal Hilbert Transform Filter Banks and Wavelets," vol. 6, 2003.
dc.identifier.doihttp://dx.doi.org/10.1109/ICASSP.2003.1201729en_US
dc.identifier.urihttps://hdl.handle.net/1911/20402
dc.language.isoeng
dc.subject.otherDSP for Communicationsen_US
dc.titleOrthogonal Hilbert Transform Filter Banks and Waveletsen_US
dc.typeConference paper
dc.type.dcmiText
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