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资源说明：谢谢之前那位朋友提醒，之前不完全，现在补充了遗漏的！
要做Turbo，感觉是绕不开Dr.wuyufei的数学架构的,我在里面详细注释了。本文作为学习用，很具有参考价值！
本文在结果中详细列出了每次迭代的误码率，迭代次数可调，结果运行时间较长，这个很正常。
译码部分的log-map算法调通了，sova有代码，并没有调，下载的朋友们需要注意了！
% **************Dr. wuyufei的典型Turbo系统主函数********************************
% This script simulates the classical turbo encoding-decoding system.
% It simulates parallel concatenated convolutional codes.
% Two component rate 1/2 RSC (Recursive Systematic Convolutional) component encoders are assumed.
%
% First encoder is terminated with tails bits. (Info + tail) bits are scrambled and passed to
% the second encoder, while second encoder is left open without tail bits of itself.
%
% Random information bits are modulated into +1/-1, and transmitted through a AWGN channel.
% Interleavers are randomly generated for each frame.
% While it's UNECESSARY in our first version!
%
% Log-MAP algorithm without quantization or approximation is used.
% By making use of ln(e^x+e^y) = max(x,y) + ln(1+e^(-abs(x-y))),
% the Log-MAP can be simplified with a look-up table for the correction function.
% If use approximation ln(e^x+e^y) = max(x,y), it becomes MAX-Log-MAP.
本源码包内暂不包含可直接显示的源代码文件，请下载源码包。
