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.相关搜索： decision
convolutional
encoder
matlab
monte
carlo
matlab
Viterbi
BPSK
viterbi
BER
convolutional
encoder
soft
viterbi
BERcurve_CV_soft2_QA
MATLAB
viterbi
bpsk
monte
carlo