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

2014 ◽  
Vol 989-994 ◽  
pp. 3726-3729
Author(s):  
Xiu Fang Liu

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.

2013 ◽  
Vol 846-847 ◽  
pp. 991-994
Author(s):  
Zhen Xing Li

A new impulse noise suppression method by median filtering with parity extraction was proposed in this paper. The window size of the median filter has important effect on the performance of the filtering result, larger window size can suppress impulse noise effectively but often at cost of loss of the detail information of the signal, while smaller window size can protect the detail information better but results in degrading of the noise suppression. Parity extraction is done to the signal at first and median filtering carries on the odd and even part respectively, and then a new method of median filtering with short window size to suppress the impulse noise is obtained. Simulation and experiment data of telemetry process results show the effectiveness of the proposed method.


2011 ◽  
Vol 130-134 ◽  
pp. 2928-2931
Author(s):  
Xian Feng Liu ◽  
Shu Ming Li

A new image digital watermarking algorithm based on DWT is proposed, by which Arnold scrambling is firstly processed followed by wavelet decomposition in images. Then the watermark information is embedded in the processed digital images according to certain rules. The experimental results show that the algorithm has a better robustness against common attacks of JPEG and median filtering.


2017 ◽  
Vol 16 (6) ◽  
pp. 2015-2026 ◽  
Author(s):  
Parham Taghinia Jelodari ◽  
Mojtaba Parsa Kordasiabi ◽  
Samad Sheikhaei ◽  
Behjat Forouzandeh

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