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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Huang Guopin Zhao Wei Zhang Qin |
| Copyright Year | 2013 |
| Description | Author affiliation: Inf. Eng. Sch., Commun. Univ. of China, Beijing, China (Huang Guopin; Zhao Wei; Zhang Qin) |
| Abstract | As various noises seriously affect the quality of our life, the noise cancellation and suppression has been an important task. After decades of development, the researchers have come up with a variety of effective methods to reduce certain types of noises. However, the noise presenting in life are basically a mixture of different kinds of noise. This paper examines a phenomenon of periodic noise mixing with impulse noise. In order to cancel or suppress mixed noise, using the method of spectrogram to detect and eliminate of impulse noise, and then sending the remaining mixed noise into improved RLS adaptive filtering system to eliminate periodic noise. Through the method described in this paper, SNR can achieve 12dB or more, and the noise reduction coefficient can reach more than 0.9. |
| Starting Page | 964 |
| Ending Page | 968 |
| File Size | 314363 |
| Page Count | 5 |
| File Format | |
| ISBN | 9781479905614 |
| DOI | 10.1109/ICCSNT.2013.6967264 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2013-10-12 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Algorithm design and analysis Noise reduction Adaptive filters Signal processing algorithms Recursive least squares Impulse noise Noise cancellation Periodic noise Active control Spectrogram Signal to noise ratio |
| Content Type | Text |
| Resource Type | Article |
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