Compressed Wideband Spectrum Sensing Based on Discrete Cosine Transform
Discrete cosine transform (DCT) is a special type of transform which is widely used for compression of speech and image. However, its use for spectrum sensing has not yet received widespread attention. This paper aims to alleviate the sampling requirements of wideband spectrum sensing by utilizing t...
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| Format: | Article |
| Language: | English |
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Wiley
2014-01-01
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| Series: | The Scientific World Journal |
| Online Access: | http://dx.doi.org/10.1155/2014/464895 |
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| author | Yulin Wang Gengxin Zhang |
| author_facet | Yulin Wang Gengxin Zhang |
| author_sort | Yulin Wang |
| collection | DOAJ |
| description | Discrete cosine transform (DCT) is a special type of transform which is widely used for compression of speech and image. However, its use for spectrum sensing has not yet received widespread attention. This paper aims to alleviate the sampling requirements of wideband spectrum sensing by utilizing the compressive sampling (CS) principle and exploiting the unique sparsity structure in the DCT domain. Compared with discrete Fourier transform (DFT), wideband communication signal has much sparser representation and easier implementation in DCT domain. Simulation result shows that the proposed DCT-CSS scheme outperforms the conventional DFT-CSS scheme in terms of MSE of reconstruction signal, detection probability, and computational complexity. |
| format | Article |
| id | doaj-art-703dcf65607b46f6a4abd06a9a4298ce |
| institution | Kabale University |
| issn | 2356-6140 1537-744X |
| language | English |
| publishDate | 2014-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | The Scientific World Journal |
| spelling | doaj-art-703dcf65607b46f6a4abd06a9a4298ce2025-08-20T03:34:01ZengWileyThe Scientific World Journal2356-61401537-744X2014-01-01201410.1155/2014/464895464895Compressed Wideband Spectrum Sensing Based on Discrete Cosine TransformYulin Wang0Gengxin Zhang1Institute of Communication Engineering, PLA University of Science and Technology, Yudao Street 14, Nanjing 210007, ChinaInstitute of Communication Engineering, PLA University of Science and Technology, Yudao Street 14, Nanjing 210007, ChinaDiscrete cosine transform (DCT) is a special type of transform which is widely used for compression of speech and image. However, its use for spectrum sensing has not yet received widespread attention. This paper aims to alleviate the sampling requirements of wideband spectrum sensing by utilizing the compressive sampling (CS) principle and exploiting the unique sparsity structure in the DCT domain. Compared with discrete Fourier transform (DFT), wideband communication signal has much sparser representation and easier implementation in DCT domain. Simulation result shows that the proposed DCT-CSS scheme outperforms the conventional DFT-CSS scheme in terms of MSE of reconstruction signal, detection probability, and computational complexity.http://dx.doi.org/10.1155/2014/464895 |
| spellingShingle | Yulin Wang Gengxin Zhang Compressed Wideband Spectrum Sensing Based on Discrete Cosine Transform The Scientific World Journal |
| title | Compressed Wideband Spectrum Sensing Based on Discrete Cosine Transform |
| title_full | Compressed Wideband Spectrum Sensing Based on Discrete Cosine Transform |
| title_fullStr | Compressed Wideband Spectrum Sensing Based on Discrete Cosine Transform |
| title_full_unstemmed | Compressed Wideband Spectrum Sensing Based on Discrete Cosine Transform |
| title_short | Compressed Wideband Spectrum Sensing Based on Discrete Cosine Transform |
| title_sort | compressed wideband spectrum sensing based on discrete cosine transform |
| url | http://dx.doi.org/10.1155/2014/464895 |
| work_keys_str_mv | AT yulinwang compressedwidebandspectrumsensingbasedondiscretecosinetransform AT gengxinzhang compressedwidebandspectrumsensingbasedondiscretecosinetransform |