Title :
The feature extraction and classification for signals based on the S-transform
Author :
Yun Lin ; Xiaochun Xu ; Bin Li ; Jinfeng Pang ; Ruolin Zhou
Author_Institution :
Coll. of Inf. & Commun. Eng., Harbin Eng. Univ., Harbin, China
Abstract :
The S-transform is an very efficient time-frequency representation method. According to the contrast of the traditional methods, the S-transform has a progressive anti-noise property and time-frequency resolution. Making use of the advantage of the S-transform, the characteristic variables of the modulation signal can be gotten, which can be used to distinguish the different type of modulation signals. The simulation experiment results show that the S-transform can express the instantaneous frequency of modulation signals clearly. Through extracting the linear feature, this paper goes deep into scooping out the new characteristic and extracts the character vectors, which can be used to set up a classification and recognition model. It can be used to correctly classify the different type of modulation signals.
Keywords :
feature extraction; modulation; signal classification; signal representation; time-frequency analysis; transforms; S-transform; instantaneous frequency; linear feature extraction; modulation signal characteristic variables; progressive antinoise property; recognition model; signal classification; signal feature extraction; time-frequency representation method; time-frequency resolution; Binary phase shift keying; Continuous wavelet transforms; Frequency modulation; Feature Extraction; Instantaneous Frequency; Modulation Recognition; S-transform;
Conference_Titel :
Measurement, Information and Control (ICMIC), 2013 International Conference on
Conference_Location :
Harbin
Print_ISBN :
978-1-4799-1390-9
DOI :
10.1109/MIC.2013.6758024