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卷积码译码算法改进
实现Conv.(2,1,9)的编码、软判决滑动窗维特比译码，其生成多项式为G0=561(八进制),G1=753(八进制)，调制方式为BPSK，信道为AWGN，比较不同的译码深度对译码器性能的影响-convolutional code decoding algorithm to improve achievement Conv. (2,1,9) of the Code, Soft Decision sliding window Viterbi Decoder, genera
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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 (Q
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scr ipt for computing the BER for BPSK modulation in AWGN with
Hard and Soft decision Viterbi decoding with traceback
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程序是卷积码的截尾译码，软判决译码，AWGN信道，bpsk调制，-Program is truncated convolution code decoding, soft decision decoding, AWGN channel, bpsk modulation
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BPSK仿真在AWGN信道下产生卷积码和非卷积码的比较，约束长度7，多项式[171,133],码率1/2，分别采用硬判决和软判决,Convolutional code and convolutional code comparison, simulation BPSK in AWGN channel constraint length 7 polynomial [171,133], code rate 1/2, respectively, using the hard-decision and
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viterbi decoding and get the curve of Eb/No and bit error rate.-implement viterbi decoding using BPSK by soft decision
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