Waveform encoding of binary signals using a wavelet and its Hilbert transform

dc.contributor.authorÖztürk, Ertan
dc.contributor.authorKucar, Oguz
dc.contributor.authorAtkin, Guillermo E.
dc.date.accessioned2025-10-29T12:08:14Z
dc.date.issued2000
dc.departmentGebze Teknik Üniversitesi
dc.description25th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2000 -- Istanbul; Hilton Hotel and Convention Center -- 126254
dc.description.abstractOrthogonal wavelets have been applied to communications since the early 90s. We prove that the Hilbert transform of a wavelet is orthogonal to its time shifts and it is also orthogonal to the corresponding wavelet and its time shifts. On the other hand, since the Hilbert transform only shifts the phase of the wavelet function by 90-degree, the magnitude spectrums of the wavelet and its transform are the same. Therefore they are located on the same frequency band. In order to utilize the above properties, we propose to use the wavelet and its Hilbert transform for waveform encoding of data bits. With this, we are able to double the bit rate without increasing the bandwidth or affecting the bit error rate (BER). Daubechies (1992) wavelets are used in the analyses of the proposed system. © 2017 Elsevier B.V., All rights reserved.
dc.identifier.doi10.1109/ICASSP.2000.861015
dc.identifier.endpage2644
dc.identifier.isbn1424407281
dc.identifier.isbn9781467300469
dc.identifier.isbn0780362934
dc.identifier.isbn9781457705397
dc.identifier.isbn9781728163277
dc.identifier.isbn9781424423545
dc.identifier.isbn9798350368741
dc.identifier.isbn0780305329
dc.identifier.isbn9780780309463
dc.identifier.isbn9781509066315
dc.identifier.issn0736-7791
dc.identifier.issn1520-6149
dc.identifier.scopus2-s2.0-0033677950
dc.identifier.scopusqualityQ1
dc.identifier.startpage2641
dc.identifier.urihttps://doi.org/10.1109/ICASSP.2000.861015
dc.identifier.urihttps://hdl.handle.net/20.500.14854/14389
dc.identifier.volume5
dc.indekslendigikaynakScopus
dc.language.isoen
dc.publisherInstitute of Electrical and Electronics Engineers Inc.
dc.relation.ispartofProceedings - ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.snmzKA_Scopus_20251020
dc.subjectBit error rate
dc.subjectDiscrete wavelet transforms
dc.subjectEncoding (symbols)
dc.subjectFrequency bands
dc.subjectMathematical transformations
dc.subjectSignal processing
dc.subjectBandwidth
dc.subjectBinary codes
dc.subjectFIR filters
dc.subjectHigh pass filters
dc.subjectLow pass filters
dc.subjectPhase shift keying
dc.subjectSpectrum analysis
dc.subjectTheorem proving
dc.subjectTransfer functions
dc.subjectWavelet transforms
dc.subjectBinary signals
dc.subjectDaubechies
dc.subjectHilbert transform
dc.subjectMagnitude spectrum
dc.subjectOrthogonal wavelets
dc.subjectTime shifts
dc.subjectWave forms
dc.subjectWavelet function
dc.subjectSignal encoding
dc.subjectDaubechies wavelets
dc.subjectWaveform encoding
dc.titleWaveform encoding of binary signals using a wavelet and its Hilbert transform
dc.typeConference Object

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