Research Article
Research on Communication Signal Filtering Method Based on Generalized S-Transform
@INPROCEEDINGS{10.4108/eai.21-6-2018.2276571, author={Ruowu Wu and Yongzhi Wang and Hui Han and Xiang Chen and Lin Yun}, title={Research on Communication Signal Filtering Method Based on Generalized S-Transform}, proceedings={11th EAI International Conference on Mobile Multimedia Communications}, publisher={EAI}, proceedings_a={MOBIMEDIA}, year={2018}, month={9}, keywords={multimedia signal processing; generalized s transform; time-frequency filtering}, doi={10.4108/eai.21-6-2018.2276571} }
- Ruowu Wu
Yongzhi Wang
Hui Han
Xiang Chen
Lin Yun
Year: 2018
Research on Communication Signal Filtering Method Based on Generalized S-Transform
MOBIMEDIA
EAI
DOI: 10.4108/eai.21-6-2018.2276571
Abstract
In multimedia signal, because of the existence of Gaussian white noise in the environment, the speech signal is very vulnerable to pollution. In order to filter noise and extract useful components from signals, a speech signal filtering method based on generalized S transform and image processing is proposed in this paper. The method is compared with other two kinds of filtering methods. The simulation results show that, in the range of signal to noise ratio (SNR) -10dB~10dB, the filtering method can effectively improve the SNR more than 5dB, and its performance is the best
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