摘要
在熵域内对线性网络进行分析,推导证明了线性网络输入熵与输出熵之间的关系,并给出线性放大器的熵模型,借助线性网络的处理尽最大程度的消除感知信息中的噪声熵,从而提高信源的分辨率.工程实例验证了低噪声放大器中各级的噪声系数对系统总噪声系数和信息量的贡献不同,等效噪声系数越低,多级放大系统的互信息量就越大.
It was proved that the linear relationship between input and output entropy,and the entropy model of linear amplifier was given in the entropy domain. The noise entropy of sensor information could be eliminated by the process of the linear network to the greatest extent,so as to improve the resolution of the information source. The engineering example showed the contribution between the system noise coefficient and amount of information were different for all levels noise coefficient in low noise amplifier. The lower the equivalent noise coefficient,the greater the mutual information in the multi-stage amplification system.
出处
《轻工学报》
CAS
2016年第5期63-68,共6页
Journal of Light Industry
基金
国家自然科学基金项目(61374014)
关键词
线性网络
熵
低噪声放大器
linear network
entro py
low noise amplifier
