Elimination of pulse-noise from mixed-noise based on fractional lower order ICA
In order to solve the problem that traditional denoising methods based on the second order statistics were usually degraded in their performance when the received signal was contaminated by both Gaussian and Alpha stable noises.A fractional lower order statistics based ICA method was introduced.It e...
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| Format: | Article |
| Language: | zho |
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Editorial Department of Journal on Communications
2011-01-01
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| Series: | Tongxin xuebao |
| Subjects: | |
| Online Access: | http://www.joconline.com.cn/zh/article/74419697/ |
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| _version_ | 1841537783822286848 |
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| author | QIU Tian-shuang1 LI Bing1 ZHA Dai-feng2 |
| author_facet | QIU Tian-shuang1 LI Bing1 ZHA Dai-feng2 |
| author_sort | QIU Tian-shuang1 |
| collection | DOAJ |
| description | In order to solve the problem that traditional denoising methods based on the second order statistics were usually degraded in their performance when the received signal was contaminated by both Gaussian and Alpha stable noises.A fractional lower order statistics based ICA method was introduced.It eliminated the pulse noise from the mixed noise first,and then removed the Gaussian noise with the SVD method.The simulations show that the new method is effective on the noise elimination,and the pure signal in the received signal is not deteriorated. |
| format | Article |
| id | doaj-art-4c66b2745b664f18826ae0676b3eb335 |
| institution | Kabale University |
| issn | 1000-436X |
| language | zho |
| publishDate | 2011-01-01 |
| publisher | Editorial Department of Journal on Communications |
| record_format | Article |
| series | Tongxin xuebao |
| spelling | doaj-art-4c66b2745b664f18826ae0676b3eb3352025-01-14T08:23:28ZzhoEditorial Department of Journal on CommunicationsTongxin xuebao1000-436X2011-01-0132778174419697Elimination of pulse-noise from mixed-noise based on fractional lower order ICAQIU Tian-shuang1LI Bing1ZHA Dai-feng2In order to solve the problem that traditional denoising methods based on the second order statistics were usually degraded in their performance when the received signal was contaminated by both Gaussian and Alpha stable noises.A fractional lower order statistics based ICA method was introduced.It eliminated the pulse noise from the mixed noise first,and then removed the Gaussian noise with the SVD method.The simulations show that the new method is effective on the noise elimination,and the pure signal in the received signal is not deteriorated.http://www.joconline.com.cn/zh/article/74419697/signal and information processing-stable distribution noiseICAdenoising |
| spellingShingle | QIU Tian-shuang1 LI Bing1 ZHA Dai-feng2 Elimination of pulse-noise from mixed-noise based on fractional lower order ICA Tongxin xuebao signal and information processing -stable distribution noise ICA denoising |
| title | Elimination of pulse-noise from mixed-noise based on fractional lower order ICA |
| title_full | Elimination of pulse-noise from mixed-noise based on fractional lower order ICA |
| title_fullStr | Elimination of pulse-noise from mixed-noise based on fractional lower order ICA |
| title_full_unstemmed | Elimination of pulse-noise from mixed-noise based on fractional lower order ICA |
| title_short | Elimination of pulse-noise from mixed-noise based on fractional lower order ICA |
| title_sort | elimination of pulse noise from mixed noise based on fractional lower order ica |
| topic | signal and information processing -stable distribution noise ICA denoising |
| url | http://www.joconline.com.cn/zh/article/74419697/ |
| work_keys_str_mv | AT qiutianshuang1 eliminationofpulsenoisefrommixednoisebasedonfractionallowerorderica AT libing1 eliminationofpulsenoisefrommixednoisebasedonfractionallowerorderica AT zhadaifeng2 eliminationofpulsenoisefrommixednoisebasedonfractionallowerorderica |