Paper accepted in IEEE TSP 2017

Our paper:

D. Ciuonzo, V. Carotenuto and A. De Maio,   “On Multiple Covariance Equality Testing with Application to SAR Change Detection ”

has been accepted for publication in IEEE Transactions on Signal Processing

The present work proposes a general analysis, supported by invariance theory, of homogeneity among M Gaussian populations, with application to polarimetric Synthetic aperture Radar.

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Paper Accepted in IEEE SPL 2017

has been accepted for publication in IEEE Signal Processing Letters

The present work develops and analyzes computational time-reversal by means of composite hypothesis testing tools and invariance principle so as to propose a framework for more challenging illumination scenes.

Paper accepted in IEEE SPL 2017

Our paper:

D. Ciuonzo, P. Salvo Rossi and P. Willett,  “Generalized Rao Test for Decentralized Detection of an Uncooperative Target”

 

has been accepted for publication in IEEE Signal Processing Letters

The present work develops a generalized Rao test for decentralized detection of an uncooperative target through Sensor Networks and proposes a threshold-optimization criterion.

Paper accepted in IEEE SPL (jan 2015)

Our manuscript:

D. Ciuonzo, A. De Maio and P. Salvo Rossi, “A Systematic Framework for Composite Hypothesis Testing of Independent Bernoulli Trials”

has been accepted for publication in IEEE Signal Processing Letters. The present manuscript provides a systematic taxonomy of viable detectors for composite hypothesis testing scenario which are relevant for both radar detection and decision fusion in wireless sensor networks.