IMPROVED K-MEANS ALGORITHM FOR NEARBY TARGET LOCALIZATION

Improved K-Means Algorithm for Nearby Target Localization

In a multi-source localization system, direction of arrival (DOA) estimation of angles always suffers from errors due to noise interference, sensor position inaccuracies, and other factors.When the distance between target sources is much smaller than the distance between Pitchers sensors and target sources, the accuracy of traditional localization

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Signatures of 2-day wave in the E-region electric fields and their relationship to winds and ionospheric currents

We analyze the effects of the 2-day wave activity in the EEJ using one coherent scatter radar and eight magnetometer stations located close to the dip equator.The wavelet analysis of the magnetometer data reveals a 2-day signature in the semidiurnal geomagnetic Fryer Cookware Sets tide.The E-region zonal background ionospheric electric field, deriv

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Partially Supervised Approach in Signal Recognition

The paper focuses on the potential of principal directions based approaches in signal classification and recognition.In probabilistic models, the classes are represented in terms of multivariate density functions, and an object coming from a certain class Fryer Cookware Sets is modeled as a random vector whose repartition has the density function c

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