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Technology of signal de-noising and singularity elimination based on wavelet transform 被引量:1

Technology of signal de-noising and singularity elimination based on wavelet transform
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摘要 Based on wavelet transform theory,a method for signal de-noising and singularity detection and elimination is proposed,which can reduce the noises and express local singularity.Each singularity can also be detected and located through the local modulus maxima of wavelet transform.Simulation experiments are conducted with MATLAB software.The experimental results demonstrate that the method proposed in this paper is effective and feasible. Based on wavelet transform theory,a method for signal de-noising and singularity detection and elimination is proposed,which can reduce the noises and express local singularity.Each singularity can also be detected and located through the local modulus maxima of wavelet transform.Simulation experiments are conducted with MATLAB software.The experimental results demonstrate that the method proposed in this paper is effective and feasible.
出处 《Journal of Beijing Institute of Technology》 EI CAS 2011年第4期509-513,共5页 北京理工大学学报(英文版)
关键词 industrial palletizing robot photoelectric sensor wavelet transform wavelet de-noising SINGULARITY industrial palletizing robot photoelectric sensor wavelet transform wavelet de-noising singularity
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