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基于改进离散S变换算法的常规通信信号分选识别模型
Model of the Communication Signals’ Sorting and Identification Based on the Improved Discrete S Transform
【摘要】 S变换由于其良好的时频结合特性,在信号处理领域受到了极大重视。论文在研究S变换基本原理的基础上,针对目前常用的离散S变换算法进行了分析,提出了改进的离散S变换算法,以减少离散S变换的运算量,实现离散S变换的快速运算,并建立了同时多目标常规通信信号分选识别模型,进行信号样式识别和参数提取。实验和算法性能分析证明了算法和模型的有效性。
【Abstract】 Due to its excellent time-frequency combination properties,S transform has got great attention in the field of signal processing.Based on the study of basic principles of S transform,the commonly used algorithms of discrete S transform are analyzed in this paper.The improved discrete S transform algorithm is proposed to reduce the computation of discrete S transform as well as achieve the fast discrete S transform operations.The conventional communication signals’ sorting and identification model is realized.Experiments and performance analysis proved the effectiveness to improve algorithm of discrete S transform.
【Key words】 time-frequency analysis; S transform; discrete S transform; amount of calculation; sorting and identification;
- 【文献出处】 舰船电子工程 ,Ship Electronic Engineering , 编辑部邮箱 ,2013年04期
- 【分类号】TN911.7
- 【下载频次】58