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      • Faculty of Engineering
      • Department of Electrical and Electronics Engineering
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      A signal representation approach for discrimination between full and empty hazelnuts

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      Author
      Onaran, İbrahim
      İnce, N. F.
      Tevfik, A. H.
      Çetin, A. Enis
      Date
      2007
      Source Title
      Proceedings of the 15th European Signal Processing Conference, EURASIP 2007
      Print ISSN
      2219-5491
      Publisher
      IEEE
      Pages
      2464 - 2468
      Language
      English
      Type
      Conference Paper
      Item Usage Stats
      80
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      14
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      Abstract
      We apply a sparse signal representation approach to impact acoustic signals to discriminate between empty and full hazelnuts. The impact acoustic signals are recorded by dropping the hazelnut shells on a metal plate. The impact signal is then approximated within a given error limit by choosing codevectors from a special dictionary. This dictionary was generated from sub-dictionaries that are individually generated for the impact signals corresponding to empty and full hazelnut. The number of codevectors selected from each sub-dictionary and the approximation error within initial codevectors are used as classification features and fed to a Linear Discriminant Analysis (LDA). We also compare this algorithm with a baseline approach. This baseline approach uses features which describe the time and frequency characteristics of the given signal that were previously used for empty and full hazelnut separation. Classification accuracies of 98.3% and 96.8% were achieved by the proposed approach and base algorithm respectively. The results we obtained show that sparse signal representation strategy can be used as an alternative classification method for undeveloped hazelnut separation with higher accuracies.
      Keywords
      Approximation errors
      Classification accuracy
      Classification features
      Classification methods
      Code vectors
      Error limits
      Frequency characteristic
      Hazelnut shells
      Impact acoustics
      Impact signals
      Linear discriminant analysis
      Metal plates
      Signal representations
      Sparse signal representation
      Acoustic waves
      Algorithms
      Signal processing
      Separation
      Permalink
      http://hdl.handle.net/11693/27037
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      • Department of Electrical and Electronics Engineering 3524
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