Sitemap  |  Contact  |  Home  |  中文  |  CAS  |  Director’s Email
International Cooperation
Education & Training
Societies & Publications
Chinese Journal of Acoustics
 
 
  Location:Home>News>Events
Academic Report about the Invariance Theory Presented by Prof. Danilo Orlando from Italy
Author:
ArticleSource:
Update time: 2017/09/06
Viewed:
Close
Text Size: A A A
Print

 

Date: July 7, 2017

Source: XU Da from Key Laboratory of Information Technology for AUVs

Prof. Danilo Orlando from University of Niccolò Cusano, Italy, delivered an academic report titled “The invariance theory in radar” in the Institute of Acoustics (IOA) of the Chinese Academy of Sciences (CAS) on July 7.

Prof. Danilo Orlando was invited by Prof. HAO Chengpeng from Key Laboratory of Information Technology for AUVs, CAS. More than 30 IOA staff and students attended.

Sufficient statistic is an important concept used in the invariance theory. In the report, Prof. Danilo Orlando firstly introduced sufficient statistic and showed the steps to obtain a sufficient statistic.

Then, Prof. Danilo Orlando introduced the invariance in the context of the Neyman-Pearson theory of hypothesis, and discussed the invariance of a hypothesis testing problem.

Prof. Danilo Orlando also provided two applications of sufficiency and invariance, the invariant detectors for the homogeneous environment and the partially homogeneous environment.

In the Q&A session, Professor Danilo Orlando answered questions about his research asked by the audience. He then discussed the possible cooperation between the two sides in the future with the research team led by Prof. HAO.

Professor Danilo Orlando is Senior Member of IEEE who has more than 80 scientific publications. His research interests focus on statistical signal processing and image processing, with more emphasis on adaptive detection and tracking of multiple targets in multisensor scenarios.

Prof. Danilo Orlando is presenting his report

 
Copyright © 1996 - 2020 Institute of Acoustics, Chinese Academy of Sciences
No. 21 North 4th Ring Road, Haidian District, 100190 Beijing, China
E-mail: ioa@mail.ioa.ac.cn