摘要
独立分量分析是近十多年发展起来的一种非常有效的盲信号分离技术。改进的H-J算法是具有较好稳定和收敛性能的ICA算法,该文通过对改进的H-J算法的分析,将其应用于混合矩阵近似奇异,且强噪声背景下的混合信号盲分离中,并通过计算机仿真实验给予了验证。
Independent Component Analysis is an effective blind signal separation technique which emerged in the last few decades. Modified Herault - Jutten Algorithms are stable and converge algorithms of ICA. This algorithm is applied to blind separating signals in large noise and nearly singular mixing matrix. Computer simulation proves the validity.
出处
《实验科学与技术》
2007年第3期10-11,23,共3页
Experiment Science and Technology
关键词
盲分离
独立分量分析
瞬时混合
blind separation
independent component analysis
instantaneous mixtures
