Advanced Hybrid Information Processing. First International Conference, ADHIP 2017, Harbin, China, July 17–18, 2017, Proceedings

Research Article

Two-Dimensional Fractal Dimension Feature Extraction Algorithm Based On Time-Frequency

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  • @INPROCEEDINGS{10.1007/978-3-319-73317-3_18,
        author={Wenwen Li and Zheng Dou and Tingting Cao},
        title={Two-Dimensional Fractal Dimension Feature Extraction Algorithm Based On Time-Frequency},
        proceedings={Advanced Hybrid Information Processing. First International Conference, ADHIP 2017, Harbin, China, July 17--18, 2017, Proceedings},
        proceedings_a={ADHIP},
        year={2018},
        month={2},
        keywords={Modulation recognition Fractal box dimension Feature extration},
        doi={10.1007/978-3-319-73317-3_18}
    }
    
  • Wenwen Li
    Zheng Dou
    Tingting Cao
    Year: 2018
    Two-Dimensional Fractal Dimension Feature Extraction Algorithm Based On Time-Frequency
    ADHIP
    Springer
    DOI: 10.1007/978-3-319-73317-3_18
Wenwen Li1,*, Zheng Dou1, Tingting Cao1
  • 1: Harbin Engineering University
*Contact email: 939021004@qq.com

Abstract

Digital signal modulation recognition is the technology of signal recognition. In the non-cooperative communication field, the technology is used to process signal and extract feature, and recognize the signal. Because of small distance and intersection between feature classes of digital signal fractal box dimension, its difficult to recognize the signal. This paper proposes a new algorithm. This algorithm is based on time frequency image of two dimensional fractal box dimension feature extraction.