• DocumentCode
    3655457
  • Title

    Deconvolution of sensor array signals using scale transform properties

  • Author

    M. Izzetoglu;T. Akgul

  • Author_Institution
    Signal Processing Lab., Drexel Univ., Philadelphia, PA, USA
  • fYear
    1998
  • Firstpage
    573
  • Lastpage
    576
  • Abstract
    In this paper, we present the extension of solutions to the multiscale deconvolution problem which appears in sensor array applications. The sensor outputs are assumed to be generated as a convolution of the unknown source signal, the so-called wavelet, with various time-scaled versions of an unknown impulse response of the medium, namely reflectivity sequences. Methods to deconvolve these signals are available if the scaling effects, referred to as time-scale factors, are truly known. Here we show that time-scale factors between the system impulse responses can be obtained from the sensor array measurements by using the scale transform properties which yield "absolutely blind" multiscale deconvolution scheme.
  • Keywords
    "Sensor arrays","Deconvolution","Reflectivity","Signal processing","Biosensors","Application software","Convolution","Sensor systems","Discrete transforms","Signal generators"
  • Publisher
    ieee
  • Conference_Titel
    Time-Frequency and Time-Scale Analysis, 1998. Proceedings of the IEEE-SP International Symposium on
  • Print_ISBN
    0-7803-5073-1
  • Type

    conf

  • DOI
    10.1109/TFSA.1998.721489
  • Filename
    721489