Ideal transmitting and receiving (Tx/Rx) array response is always desirable in multiple-input multiple-output (MIMO) radar. In practice, nevertheless, Tx/Rx arrays may be susceptible to unknown gain-phase errors (GPE) yield seriously decreased positioning accuracy. This paper focuses on the direction-of-departure (DOD) direction-of-arrival (DOA) problem bistatic MIMO radar with (GPE). A novel p...

This study aimed at monitoring the changes of fluorescent components in wastewater samples from 22 Korean biological wastewater treatment plants and exploring their prediction capabilities for total organic carbon (TOC), dissolved organic carbon (DOC), biochemical oxygen demand (BOD), chemical oxygen demand (COD), and the biodegradability of the wastewater using an optical sensing technique bas...

Abstract A non-destructive fluorescence method combined with chemometric algorithms has been developed for discriminating between olive oils. The excitation-emission matrices (EEMs) of two oil varieties (Arbosana and Oliana) from crop seasons, which had undergone different irrigation treatments (control strategy regulated deficit (RDI)), were recorded. EEMs analysed using parallel factor analys...

A local convergence theorem for calculating canonical low-rank tensor approximations (PARAFAC, CANDECOMP) by the alternating least squares algorithm is established. The main assumption is that the Hessian matrix of the problem is positive definite modulo the scaling indeterminacy. A discussion, whether this is realistic, and numerical illustrations are included. Also regularization is addressed.

Monitoring and fault detection of batch chemical processes is complicated by stretching of the time axis, resulting in batches of different length. This paper offers an approach to the unequal time axis problem using the Parallel Factor Analysis 2 (PARAFAC2) model. In part I of this series an algorithm for PARAFAC2 was developed and extended to N-way arrays. Unlike PARAFAC, the PARAFAC2 model d...