The standard model of independent component analysis (ICA) and its assumptions,ambiguities,nongaussianity measures and general solution were introduced.A kind of fast ICA algorithm based on kurtosis was discussed.Then,A weak signal feature extraction algorithm for passive infrared spectra based on standard model of ICA was proposed.Comparison was made with difference spectra.Experimental results show that the proposed algorithm can effectively detect the weak signal form passive infrared spectra,and doesn′t depend on background spectra.
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虞莉娟,熊伟,熊惠民.基于独立成分分析的被动红外光谱弱信号检测[J].激光与红外,2008,38(3):289~291 YU Li-juan, XIONG Wei, XIONG Hui-min. Weak Signal Feature Extraction Algorithm for Passive Infrared Spectra[J]. LASER & INFRARED,2008,38(3):289~291