• DocumentCode
    2310399
  • Title

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

  • Author

    Ozturk, Ertan ; Kucar, O. ; Atkin, Guillermo

  • Author_Institution
    Illinois Inst. of Technol., Chicago, IL, USA
  • Volume
    5
  • fYear
    2000
  • fDate
    2000
  • Firstpage
    2641
  • 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
  • Keywords
    Hilbert transforms; error statistics; transform coding; wavelet transforms; BER; Daubechies wavelets; Hilbert transform; bandwidth; binary signals; bit error rate; data bits; frequency band; magnitude spectrums; orthogonal wavelets; time shifts; waveform encoding; wavelet function; wavelet transform; Bandwidth; Bit error rate; Bit rate; Continuous wavelet transforms; Decoding; Differential equations; Encoding; Finite impulse response filter; Frequency; Wavelet transforms;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Acoustics, Speech, and Signal Processing, 2000. ICASSP '00. Proceedings. 2000 IEEE International Conference on
  • Conference_Location
    Istanbul
  • ISSN
    1520-6149
  • Print_ISBN
    0-7803-6293-4
  • Type

    conf

  • DOI
    10.1109/ICASSP.2000.861015
  • Filename
    861015