With using noisy data and created data, soft and hard decision are made by viterbi decoder

scr ipt for computing BER with Binary Convolutional Code and Viterbi decoding with finite survivor state memory Convolutional code of Rate-1/2, Generator polynomial - [7,5] octal Hard decision and soft decison decoding is used.

卷积码的实现，c比matlab快很多。scr ipt for computing the BER for BPSK modulation in AWGN with Hard and Soft decision Viterbi decoding with traceback-discuss a simple binary convolutional coding scheme at the transmitter and the associated Viterbi (maximum li