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      • Dept. of Electrical and Electronics Engineering - Master's degree
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      •   BUIR Home
      • University Library
      • Bilkent Theses
      • Theses - Department of Electrical and Electronics Engineering
      • Dept. of Electrical and Electronics Engineering - Master's degree
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      Exact blind channel estimator

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      Author(s)
      Özdemir, Ahmet Kemal
      Advisor
      Arıkan, Orhan
      Date
      1998
      Publisher
      Bilkent University
      Language
      English
      Type
      Thesis
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      Abstract
      Recently blind identification of single-input multiple-output (SIMO) FIR channels has received considerable attention. The obtained exact identification approaches place over-restrictive constraints on the channels. In this thesis least set of constraints on the channels are placed and the noise-free blind channel identification problem is solved in two stages: The identification of the uncommon zeros followed by the identification of the common zeros of the channels. The minimum number of samples required to identify the uncommon zeros is specified, and closed form solutions are obtained. Also a binary-tree algorithm is proposed for the computation of the uncommon zeros efficiently. Then the common zeros of the channels are identified by a novel pruning algorithm. Finally a simulation example is presented to illustrate these ideas.
      Keywords
      Blind channel identification
      Blind deconvolution
      System identification
      Fractional sampling
      Permalink
      http://hdl.handle.net/11693/18073
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      • Dept. of Electrical and Electronics Engineering - Master's degree 597
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