BERcurve_CV_soft2_QA
所属分类:通讯编程
开发工具:matlab
文件大小:6KB
下载次数:66
上传日期:2008-01-05 08:41:21
上 传 者:
joyjoy_here
说明: 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 the
estimation (approximate one) of the information-bits Weight Enumerating
Function (WEF) using
A simulation of the convolutional encoder. Once the WEF is estimated, the analytic formula for the BER is used.
(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.)
文件列表:
BERcurve_CV_soft2.m (2638, 2007-05-01)
ComputeBerSoftDecisionQuantized.m (2808, 2007-03-22)
ComputeBerSoftDecisionUnquantized.m (662, 2007-03-21)
EstimateBitWEF.m (3239, 2007-03-21)
getcodeparameters.m (4407, 2007-03-19)
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