Waveform encoding of binary signals using a wavelet and its Hilbert transform
| dc.contributor.author | Öztürk, Ertan | |
| dc.contributor.author | Kucar, Oguz | |
| dc.contributor.author | Atkin, Guillermo E. | |
| dc.date.accessioned | 2025-10-29T12:08:14Z | |
| dc.date.issued | 2000 | |
| dc.department | Gebze Teknik Üniversitesi | |
| dc.description | 25th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2000 -- Istanbul; Hilton Hotel and Convention Center -- 126254 | |
| dc.description.abstract | Orthogonal 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.doi | 10.1109/ICASSP.2000.861015 | |
| dc.identifier.endpage | 2644 | |
| dc.identifier.isbn | 1424407281 | |
| dc.identifier.isbn | 9781467300469 | |
| dc.identifier.isbn | 0780362934 | |
| dc.identifier.isbn | 9781457705397 | |
| dc.identifier.isbn | 9781728163277 | |
| dc.identifier.isbn | 9781424423545 | |
| dc.identifier.isbn | 9798350368741 | |
| dc.identifier.isbn | 0780305329 | |
| dc.identifier.isbn | 9780780309463 | |
| dc.identifier.isbn | 9781509066315 | |
| dc.identifier.issn | 0736-7791 | |
| dc.identifier.issn | 1520-6149 | |
| dc.identifier.scopus | 2-s2.0-0033677950 | |
| dc.identifier.scopusquality | Q1 | |
| dc.identifier.startpage | 2641 | |
| dc.identifier.uri | https://doi.org/10.1109/ICASSP.2000.861015 | |
| dc.identifier.uri | https://hdl.handle.net/20.500.14854/14389 | |
| dc.identifier.volume | 5 | |
| dc.indekslendigikaynak | Scopus | |
| dc.language.iso | en | |
| dc.publisher | Institute of Electrical and Electronics Engineers Inc. | |
| dc.relation.ispartof | Proceedings - ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing | |
| dc.relation.publicationcategory | Konferans Öğesi - Uluslararası - Kurum Öğretim Elemanı | |
| dc.rights | info:eu-repo/semantics/closedAccess | |
| dc.snmz | KA_Scopus_20251020 | |
| dc.subject | Bit error rate | |
| dc.subject | Discrete wavelet transforms | |
| dc.subject | Encoding (symbols) | |
| dc.subject | Frequency bands | |
| dc.subject | Mathematical transformations | |
| dc.subject | Signal processing | |
| dc.subject | Bandwidth | |
| dc.subject | Binary codes | |
| dc.subject | FIR filters | |
| dc.subject | High pass filters | |
| dc.subject | Low pass filters | |
| dc.subject | Phase shift keying | |
| dc.subject | Spectrum analysis | |
| dc.subject | Theorem proving | |
| dc.subject | Transfer functions | |
| dc.subject | Wavelet transforms | |
| dc.subject | Binary signals | |
| dc.subject | Daubechies | |
| dc.subject | Hilbert transform | |
| dc.subject | Magnitude spectrum | |
| dc.subject | Orthogonal wavelets | |
| dc.subject | Time shifts | |
| dc.subject | Wave forms | |
| dc.subject | Wavelet function | |
| dc.subject | Signal encoding | |
| dc.subject | Daubechies wavelets | |
| dc.subject | Waveform encoding | |
| dc.title | Waveform encoding of binary signals using a wavelet and its Hilbert transform | |
| dc.type | Conference Object |








