摘要
在有干扰(噪声)无记忆信道和有记忆信道两种情况下,运用协同学的方法研究如何分配输入概率获取二元对称离散信道最大的平均互信息.研究结果表明:对于无记忆二元对称离散信道,最大平均互信息与信息论中相同输入概率使平均互信息最大化的结果是一致的;对于干扰(噪声)有记忆二元对称离散信道,考虑输入、输出符号满足不同程度的记忆度和干扰(噪声)因子情况下,得到符号最佳输入概率.拓展了一种研究信息论的方法.
We use the synergetics to study how to allocate input probability in the binary symmetric discrete channel in order to maximize average mutual information for memoryless and memory channels with interference. We obtained the result that for the memoryless channel, the maximal average mutual information is in accordance with that the equivalent input probability can give according to the information theory. Moreover, we also studied the binary discrete memory channel with interference （noise）, taking into account the input and output symbols having different memory degree and interference factor, and finally obtained the symbol optimized input probability. This a new method for studying information theory is presented.
出处
《物理学报》
SCIE
EI
CAS
CSCD
北大核心
2007年第4期1948-1951,共4页
Acta Physica Sinica
基金
国家高技术研究发展计划(批准号:2002AA123032)
电子科技大学创新团队支持计划资助的课题.~~
关键词
协同学
二元对称离散信道
互信息
转移概率
synergetics, binary symmetric discrete channel, mutual information, transition probability
