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

Wenwen Li; Zheng Dou; Tingting Cao

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.

Keywords: Modulation recognition Fractal box dimension Feature extration

Published: 2018-02-09
Appears in: SpringerLink

: http://dx.doi.org/10.1007/978-3-319-73317-3_18