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BERcurve_CV_soft2_QA

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  • Update : 2008-10-13
  • Size : 6.05kb
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  • Author :j****
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Computes BER v EbNo curve for convolutional encoding/soft decision Viterbi decoding scheme assuming BPSK. Brute force Monte Carlo approach is unsatisfactory (takes too long) to find the BER curve.The computation uses a quasi-analytic (QA) technique that relies on theestimation (approximate one) of the information-bits Weight Enumerating Function (WEF) usingA simulation of the convolutional encoder. Once the WEF is estimated, the analytic formula for the BER is used.
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Packet : 45666013bercurve_cv_soft2_qa.zip filelist
BERcurve_CV_soft2.m
ComputeBerSoftDecisionQuantized.m
ComputeBerSoftDecisionUnquantized.m
EstimateBitWEF.m
getcodeparameters.m
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