English

ASTF: Visual Abstractions of Time-Varying Patterns in Radio Signals

Signal Processing 2022-10-03 v1 Human-Computer Interaction

Abstract

A time-frequency diagram is a commonly used visualization for observing the time-frequency distribution of radio signals and analyzing their time-varying patterns of communication states in radio monitoring and management. While it excels when performing short-term signal analyses, it becomes inadaptable for long-term signal analyses because it cannot adequately depict signal time-varying patterns in a large time span on a space-limited screen. This research thus presents an abstract signal time-frequency (ASTF) diagram to address this problem. In the diagram design, a visual abstraction method is proposed to visually encode signal communication state changes in time slices. A time segmentation algorithm is proposed to divide a large time span into time slices.Three new quantified metrics and a loss function are defined to ensure the preservation of important time-varying information in the time segmentation. An algorithm performance experiment and a user study are conducted to evaluate the effectiveness of the diagram for long-term signal analyses.

Keywords

Cite

@article{arxiv.2209.15223,
  title  = {ASTF: Visual Abstractions of Time-Varying Patterns in Radio Signals},
  author = {Ying Zhao and Luhao Ge and Huixuan Xie and Genghuai Bai and Zhao Zhang and Qiang Wei and Yun Lin and Yuchao Liu and Fangfang Zhou},
  journal= {arXiv preprint arXiv:2209.15223},
  year   = {2022}
}

Comments

11 pages, 9 figures