Now showing items 1-2 of 2

    • Learning Sparse Orthogonal Wavelet Filters 

      Recoskie, Daniel (University of Waterloo, 2018-10-12)
      The wavelet transform is a well studied and understood analysis technique used in signal processing. In wavelet analysis, signals are represented by a sum of self-similar wavelet and scaling functions. Typically, the wavelet ...
    • A novel approach to restoration of Poissonian images 

      Shaked, Elad (University of Waterloo, 2010-02-18)
      The problem of reconstruction of digital images from their degraded measurements is regarded as a problem of central importance in various fields of engineering and imaging sciences. In such cases, the degradation is ...

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