Impulse Noise Suppression Method for Telemetry Signal by Multi-Scale Median Filtering

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Abstract:

The telemetry signal is often interfered with impulse noise, which results in difficulty in time domain and frequency domain analysis results. Hereby a new impulse noise suppression method based on wavelet transform and median filtering technique was proposed. The received signal is decomposed into detailed components and approximate components, and then the median filtering is carried on the wavelet decomposition components with vary filtering window size according to the wavelet transform scale respectively. This method can suppress the impulse noise effectively and keep the detail information of the signal from the loss at the same time. The simulation and experimental results prove the effectiveness of the method.

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Periodical:

Advanced Materials Research (Volumes 989-994)

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3726-3729

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July 2014

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© 2014 Trans Tech Publications Ltd. All Rights Reserved

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[1] XU Hong-tao, WANG Yue-gang. Noise cancellation for telemetry signal based on reconstructed phase space and principal component analysis [J]. Journal of Computer Application, 2010, 3: 793-795.

DOI: 10.3724/sp.j.1087.2010.00793

Google Scholar

[2] YANG Hai-bao, ZHU Ya-jun, CHA Dai-feng, XIONG Mei-ying. STFT Time-frequency Analysis Method of Fractional Lower-order Alpha Stable Distribution [J]. Application Research of Computers, 2012, 29(8): 2915-2917.

Google Scholar

[3] ZHANG Chen-rui, FAN Yang-yu, LIU Shu etal. Switching vector median filter based on fuzzy decision [J]. Application Research of Computers, 2013, 30(12): 3870-3873.

Google Scholar

[4] GUO Ying, QIU Tian-shuang, ZHANG Yan-li. The fractional lower order cyclic statistics and its application in time delay estimation under impulsive noise conditions [J]. Signal Processing, 2008, 24(3): 407-410.

Google Scholar

[5] WU YunJie, DENG Yu, DUAN HaiBin, ZHOU LinNa. Dual tree complex wavelet transform approach to copy-rotate-move forgery detection[J]. SCIENCE CHINA Information Sciences, 2014, 1: 121-132.

DOI: 10.1007/s11432-013-4823-8

Google Scholar