De-noising algorithms for the raised cosine pulse signal using the minimum-energy frame in the discrete signal space
The de-noising algorithms were proposed for the raised cosine pulse signal using minimum-energy(wavelet) frame in the discrete signal space.For the given two minimum-energy frames,the decomposition coefficients of sampled sequence appeared significant statistical characteristics difference between t...
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Language: | zho |
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Editorial Department of Journal on Communications
2012-03-01
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Series: | Tongxin xuebao |
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Online Access: | http://www.joconline.com.cn/zh/article/doi/1000-436X(2012)03-0044-08/ |
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author | Ying-hai XIE Wei YANG Ting-ting FAN |
author_facet | Ying-hai XIE Wei YANG Ting-ting FAN |
author_sort | Ying-hai XIE |
collection | DOAJ |
description | The de-noising algorithms were proposed for the raised cosine pulse signal using minimum-energy(wavelet) frame in the discrete signal space.For the given two minimum-energy frames,the decomposition coefficients of sampled sequence appeared significant statistical characteristics difference between the raised cosine pulse signal and additive Gaussian noise under the frames’sub-sequences.Based on this,two threshold de-noising algorithms were provided to makes full use of the merit that the frame was fit for the de-noising work,they removed partial noise component while keeping the component of original signal and got effic nt de-noising result.The simulation results show that,when the modulating method is BPSK and its raised cosine pulse signal is polluted by the additive Gaussian noise,then if add a pre-processing link to denoise the receiving waveform using the algorithms,the receiver can greatly increase the signal-to-noise ratio of receiving signal and have about 3.1dB and 2.7dB performance gain of bit error ratio,respectively. |
format | Article |
id | doaj-art-f7889699aca9445da5d581707768a831 |
institution | Kabale University |
issn | 1000-436X |
language | zho |
publishDate | 2012-03-01 |
publisher | Editorial Department of Journal on Communications |
record_format | Article |
series | Tongxin xuebao |
spelling | doaj-art-f7889699aca9445da5d581707768a8312025-01-14T06:31:22ZzhoEditorial Department of Journal on CommunicationsTongxin xuebao1000-436X2012-03-0133445159660707De-noising algorithms for the raised cosine pulse signal using the minimum-energy frame in the discrete signal spaceYing-hai XIEWei YANGTing-ting FANThe de-noising algorithms were proposed for the raised cosine pulse signal using minimum-energy(wavelet) frame in the discrete signal space.For the given two minimum-energy frames,the decomposition coefficients of sampled sequence appeared significant statistical characteristics difference between the raised cosine pulse signal and additive Gaussian noise under the frames’sub-sequences.Based on this,two threshold de-noising algorithms were provided to makes full use of the merit that the frame was fit for the de-noising work,they removed partial noise component while keeping the component of original signal and got effic nt de-noising result.The simulation results show that,when the modulating method is BPSK and its raised cosine pulse signal is polluted by the additive Gaussian noise,then if add a pre-processing link to denoise the receiving waveform using the algorithms,the receiver can greatly increase the signal-to-noise ratio of receiving signal and have about 3.1dB and 2.7dB performance gain of bit error ratio,respectively.http://www.joconline.com.cn/zh/article/doi/1000-436X(2012)03-0044-08/discrete signal spaceminimum-energy(wavelet)frameraised cosine pulse signal |
spellingShingle | Ying-hai XIE Wei YANG Ting-ting FAN De-noising algorithms for the raised cosine pulse signal using the minimum-energy frame in the discrete signal space Tongxin xuebao discrete signal space minimum-energy(wavelet)frame raised cosine pulse signal |
title | De-noising algorithms for the raised cosine pulse signal using the minimum-energy frame in the discrete signal space |
title_full | De-noising algorithms for the raised cosine pulse signal using the minimum-energy frame in the discrete signal space |
title_fullStr | De-noising algorithms for the raised cosine pulse signal using the minimum-energy frame in the discrete signal space |
title_full_unstemmed | De-noising algorithms for the raised cosine pulse signal using the minimum-energy frame in the discrete signal space |
title_short | De-noising algorithms for the raised cosine pulse signal using the minimum-energy frame in the discrete signal space |
title_sort | de noising algorithms for the raised cosine pulse signal using the minimum energy frame in the discrete signal space |
topic | discrete signal space minimum-energy(wavelet)frame raised cosine pulse signal |
url | http://www.joconline.com.cn/zh/article/doi/1000-436X(2012)03-0044-08/ |
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