Paper accepted at ITC 29

Our paper:

Anonymity Services Tor, I2P, JonDonym: Classifying in the Dark”,

has been accepted within 29th International Teletraffic Congress (ITC 29), 2017.

The present work analyzes whether Anonimity Tools can be discerned/classified by statistical (no packet inspection) classification techniques and, in affirmative case, to which degree.

Paper accepted in Elsevier DSP 2017

Our paper:

D. Ciuonzo and P. Salvo Rossi,  “On the Asymptotic Distribution of Time-Reversal MUSIC Null Spectrum,”

has been accepted for publication in Elsevier Digital Signal Processing.

The present work studies analyzes high-SNR distribution of the Time-Reversal Multiple Signal Classification (TR-MUSIC) spectrum in the case of a co-located multistatic narrowband scenario.

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.

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.

Appointed Mentor for the “AESS Professional Networking and Mentoring Program”

I have been recently appointed as Mentor for the “AESS Professional Networking and Mentoring Program”. Further details can be found at:

http://ieee-aess.org/aess-professional-networking-and-mentoring-program

This is intended to provide help and guidance to young researchers in AESS-related fields. My technical interests cover:

  • Information and Data Fusion;
  • Networked Sensor Systems;
  • Radar and Array Signal Processing;
  • Statistical Signal Processing; Machine Learning.

Paper accepted in IEEE SPL 2017

Our paper:

D. Ciuonzo, P. Salvo Rossi, “Non-colocated Time-Reversal MUSIC: High-SNR Distribution of Null Spectrum,”
IEEE Signal Processing Letters,

has been accepted for publication in IEEE Signal Processing Letters.

The present work studies analyzes high-SNR distribution of the Time-Reversal Multiple Signal Classification (TR-MUSIC) spectrum in the case of a non-colocated multistatic narrowband scenario.