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根据联合预测效果提取水声信号的非线性特征

Extraction of nonlinear features from underwater acoustic signals based on joint prediction results

  • 摘要: 在局部线性预测的基础上提出了联合预测方法,研究了预测效果与重构维数及时延两个嵌入参数的关系。发现各种信号的联合预测效果反映了信号自身的特征,可将其用于水声信号的非线性特征的分析和提取。初步提取了水声信号的数字特征,预测得到的平均斜率指标可以将一类目标同另外两类目标区分开。从而提供了一种新的目标特征提取途径。

     

    Abstract: A joint prediction method based on local linear prediction is presented.Joint prediction is used to study the relation between the prediction results and the embedding parameters including reconstruction dimension and time delay.It is demonstrated that the prediction results of different signals can represent features of the signal.The joint prediction result is used in analyzing and extracting features from under-water acoustic signals.Features of underwater acoustic signals are obtained.The average slope can distinguish one class of targets from other two classes.

     

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