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Novel robust S transform based on the clipping method

Novel robust S transform based on the clipping method
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摘要 This paper presents a novel robust S transform algorithm based on the clipping method to process signals corrupted by impulsive noise.The proposed algorithm is introduced to determine the clipping threshold value according to the characteristics of the signal samples.Signals in various impulsive noise models are considered to illustrate that the robust S transform can achieve better performance than the standard S transform.Moreover,mean square errors for instantaneous frequency estimation of the robust S transform are compared with that of the standard S transform,showing that the robust S transform can achieve significantly improved instantaneous frequency estimation for the signals in impulsive noise. This paper presents a novel robust S transform algorithm based on the clipping method to process signals corrupted by impulsive noise.The proposed algorithm is introduced to determine the clipping threshold value according to the characteristics of the signal samples.Signals in various impulsive noise models are considered to illustrate that the robust S transform can achieve better performance than the standard S transform.Moreover,mean square errors for instantaneous frequency estimation of the robust S transform are compared with that of the standard S transform,showing that the robust S transform can achieve significantly improved instantaneous frequency estimation for the signals in impulsive noise.
出处 《Journal of Systems Engineering and Electronics》 SCIE EI CSCD 2013年第2期209-214,共6页 系统工程与电子技术(英文版)
基金 supported by the National Natural Science Foundation of China(61102164 61272224) the Scientific Research Fund of Hangzhou Normal University(2011QDL021)
关键词 S transform clipping method impulsive noise mean square error(MSE) S transform; clipping method; impulsive noise; mean square error(MSE)
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