Synthetic Aperture Radar Cold Regions Hazard and Surveillance Monitoring
Abstract not provided.
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Jump to search filtersOptimization framework for wireless unattended ground sensor (UGS) networks
Abstract not provided.
Least squares support vector machines for DOA estimation with classification error control
Proposed for presentation at the IEEE Transactions on Antennas and Propagation.
Abstract not provided.
Least squares support vector machines for direction of arrival estimation with error control and validation
The paper presents a multiclass, multilabel implementation of least squares support vector machines (LS-SVM) for direction of arrival (DOA) estimation in a CDMA system. For any estimation or classification system, the algorithm's capabilities and performance must be evaluated. Specifically, for classification algorithms, a high confidence level must exist along with a technique to tag misclassifications automatically. The presented learning algorithm includes error control and validation steps for generating statistics on the multiclass evaluation path and the signal subspace dimension. The error statistics provide a confidence level for the classification accuracy.
Least squares support vector machines for fixed step/set CDMA power control
Abstract not provided.
Least squares support vector machines for direction of arrival estimation
Abstract not provided.
Open-Loop Adaptive Filtering for Speckle Reduction in Synthetic Aperture Radar Images
Abstract not provided.
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