应用最大熵谱估计检测微弱信号

Adopting Maximum Entropy Spectral Estimation Takes Out Weak Signal

频谱分析是数字信号处理的主要内容之一 ,近年来 ,由于最大熵算法的一些优点 ,使它成为现代谱估计中一个比较活跃的领域。最大熵算法是 196 7年由Burg提出来的一种现代谱估计方法。提出了应用最大熵谱估计及LMS自适应算法 ,根据有限数据 ,在频域内提取被淹没在噪声中的有用信号的方法及应用MATLAB语言进行的仿真。

Frequency spectral analysis is principle content in digital signal processing. Recently, because of the maximum entropy spectral arithmetic's advantages, it has became relative active field. The maximum entropy spectral arithmetic is a modern spectral estimation method taken by Burg in 1967. The paper concluded that basing the limit data, adopting maximum entropy spectral estimation and LMS arithmetic takes out useful signal that merged in noise, and applying MATLAB does emulation.