The Feature Extraction and Classification for Signals Based on the S-Transform

被引：0

作者：

Lin, Yun ^{[1
]}

Xu, Xiaochun ^{[1
]}

Li, Bin ^{[1
]}

Pang, Jinfeng ^{[1
]}

Zhou, Ruolin ^{[2
]}

机构：

[1] Harbin Engn Univ, Coll Informat & Commun Engn, Harbin, Peoples R China

[2] Western New England Univ, Dept Elect & Comp Engn, Springfield, MA USA

来源：

PROCEEDINGS OF 2013 2ND INTERNATIONAL CONFERENCE ON MEASUREMENT, INFORMATION AND CONTROL (ICMIC 2013), VOLS 1 & 2 | 2013年

关键词：

S-transform; Modulation Recognition; Feature Extraction; Instantaneous Frequency;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

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.

引用

页码：550 / 553

页数：4

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