The blind parallel factor(PARAFAC) signal detection algorithm for the polarization sensitive array is proposed.

New near-field sources localization algorithm based on parallel factor analysis;

Firstly, by use of three second-order statistics (SOS) matrices obtained from array outputs, a parallel factor (PARAFAC) analysis model is constructed in the SOS domain; secondly, the uniqueness of the model s low-rank decomposition is analyzed;thirdly,the range,the frequency,and the direction-of-arrival (DOA) of each source are estimated from the decomposed matrices of the model.

) by the combination of excitation-emission matrix fluorescence and second-order calibration methods based on parallel factor analysis(PARAFAC) and alternating normalization-weighted error(ANWE) algorithms.

In this paper,the methodologies of combining excitation-emission fluorescent spectra with second-order calibration based on both the alternating trilinear decomposition(ATLD)algorithms and the parallel factor analysis(PARAFAC)algorithms were applied to directly determine salicy late acid(SA)in plasma even in the presence of other uncalibrated interferents.

In this paper,the methodology which combines excitation-exmission matrix fluorescence spectra with second-order calibration based on self-weighted alternating normalized residue fitting algorithm(SWANRF) and parallel factor analysis(PARAFAC) was applied to simultaneously and directly determine dextromethorphan and dextrorphan content in plasma samples.