Article: Research from City University of Hong Kong has provided new information about signal processing.

According to a study from Hong Kong, People's Republic of China, "Localization of sensor nodes is a fundamental and important problem in wireless sensor networks. Although classical multidimensional scaling (MDS) is a computationally attractive positioning method, it is statistically inefficient and cannot be applied in partially-connected sensor networks."

"In this correspondence, a weighted MDS algorithm is devised to circumvent these limitations. It is proved that the estimation performance of the proposed algorithm can attain Cramer-Rao lower bound (CRLB) for sufficiently small noise conditions," wrote F.K.W. Chan and colleagues, City University of Hong Kong. ...

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