• Jun 17] Visual Storytelling Contest videos and materials are updated.
• Apr 14] Workshops (PacificVAST) schedules are updated.
• Mar 7] Conference program and keynote talks are updated.
• Feb] Registration is now available!
• Feb] Accommodation information is updated.

• 2016
  Taipei
  Apr 19 - Apr 22
• 2015
  Hangzhou
  Apr 14 - Apr 17
• 2014
  Yokohama
  Mar 04 - Mar 07
• 2013
  Sydney
  Feb 26 - Mar 01
• 2012
  Songdo
  Feb 28 - Mar 02
• 2011
  Hong Kong
  Mar 01 - Mar 04
• 2010
  Taipei
  Mar 02 - Mar 05
• 2009
  Beijing
  Apr 20 - Apr 23
• 2008
  Kyoto
  Mar 04 - Mar 07

• Facebook Official Facebook Page

• Twitter Official Twitter Account

• WeChat Official WeChat Account (亚太地区可视化会议微信公众号)

Multilevel Visual Analysis of Multivariate Radio Signal Data

• chufan lai
  Key Laboratory of Machine Perception (Ministry of Education), and School of EECS, Peking University, Beijing, Beijing, China
• Lu Feng 136608526 (at) qq.com
  Key Laboratory of Machine Perception (Ministry of Education), and School of EECS, Peking University, Beijing, Beijing, China
• Xiaoru Yuan xiaoru.yuan (at) pku.edu.cn
  Key Laboratory of Machine Perception (Ministry of Education) and School of EECS, Peking University, Beijing, China

Abstract

Radio signal is an essential part in wireless communication, which can shed lights on various communication patterns. In previous works, its temporal and frequency-domain features have been thoroughly studied. But the multivariate features were not fully explored. In this work, we develop a visual analytic system to facilitate multilevel and multivariate analysis towards large scale radio signal data. Our system tightly integrates data analysis in time, frequency and multivariate domains. Specifically, it promotes attribute-based analysis and subspace feature mining using multivariate visualization techniques. It also promotes large scale signal data analysis by multilevel visual designs and database techniques. We demonstrate the effectiveness of our system by a use case with real-world signal data.