摘要
信号采集和信号处理对船舶等海上作业平台具有非常重要的意义,在船舶综合导航、通信和货物运输等方面有广泛应用。随着工业技术水平的提高,对于复杂噪声信号和稀疏源信号的处理得到了长足发展。本文基于短时傅里叶变换,系统分析船舶欠定稀疏源信号的盲分离过程,并对该欠定信号盲分离的优化算法进行研究。
Signal acquisition and signal processing are very important for marine operation platforms such as ships, and are widely used in ship integrated navigation, communication and cargo transportation. With the improvement of industrial technology, the processing of complex noise signal and sparse source signal has been greatly developed. Based on the shorttime Fourier transform, the blind separation process of ship underdetermined sparse source signal is analyzed systematically,and the optimal algorithm for the blind separation of the underdetermined signal is studied.
出处
《舰船科学技术》
北大核心
2017年第3X期126-128,共3页
Ship Science and Technology
关键词
信号处理
短时傅里叶变换
欠定信号
盲分离
signal processing
short-time Fourier transform
underdetermined signal
blind separation
