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Computational Advances in Multi-Sensor Adaptive Processing, 2005 1st IEEE International Workshop on

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Computational Advances in Multi-Sensor Adaptive Processing, 2005 1st IEEE International Workshop on

Date 13-15 Dec. 2005

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1st IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (IEEE Cat. No.05EX1140C)

Cognitive radar networks

Multi-dimensional aperture design and analysis for SAR using the Cramer-Rao theorem

Structured covariance estimation and radar imaging with sparse linear models

Two-set expected-likelihood GLRT technique for adaptive detection

Autonomous intelligent radar system (AIRS) for multi-sensor radars

Target height estimation in an emulated bistatic radar via interferometric processing

A beamforming approach to stepped-frequency synthetic aperture through-the-wall radar imaging

A method for combining focused monostatic and bistatic GPR to reduce multipath effects

Correlative interferometric imaging of extended objects for near field arrays

Ultra narrow band adaptive tomographic radar

Evolution of the radar target tracking algorithms: a move towards knowledge based multi-sensor adaptive processing

An algorithm or the neural fusion of IRST & radar for airborne target detection

Linear complex-field coding for cooperative networking

Distributed space-time block coding for cooperative networks with multiple-antenna nodes

Optimal rate allocation for the vector Gaussian CEO problem

Cooperative models for synchronization, scheduling and transmission in large scale sensor networks: an overview

A two-stage fastmap-MDS approach for node localization in sensor networks

A computational multi-kernel approach to multi-sensor problems using cross-referencing (CREF)

Dual methods for sensor testing of industrial containers. I. The classical approach

Dual methods for sensor testing of industrial containers. II. A nonclassical approach

Integral methods for mechanical sensor design and performance testing in plates with transverse shear deformation and transverse normal strain

Bootstrap based nonparametric curve and confidence band estimates for spectral densities

Multiple target tracking with constrained motion using particle filtering methods

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