Title :
Mobile traffic signal processing based on instantaneous maximum entropy method
Author :
Fukasawa, Atsushi ; Takizawa, Yumi ; Sato, Shinichi ; Oda, Keisuke ; Sato, Takuro
Author_Institution :
R&D Div., OKI Electr., Tokyo, Japan
Abstract :
An automatic supervising method is investigated on mobile signals for future traffic systems. The instantaneous maximum entropy method (IMEM) is proposed to analyze time-variant signals. The spectral pattern analysis method is also given to analyze the state of mobile engine operation and to classify types of mobiles. The proposed method was applied to signal processings of test mobiles
Keywords :
pattern recognition; signal processing; spectral analysis; traffic control; automatic supervising method; instantaneous maximum entropy method; mobile traffic signal processing; spectral pattern analysis method; time-variant signals; Engines; Entropy; Filtering; Filters; Frequency; Lattices; Pattern analysis; Signal processing; Spectral analysis; Testing;
Conference_Titel :
Industrial Electronics, 1992., Proceedings of the IEEE International Symposium on
Conference_Location :
Xian
Print_ISBN :
0-7803-0042-4
DOI :
10.1109/ISIE.1992.279538
