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Compressed Wideband Spectrum Sensing Based on Discrete Cosine Transform
Joint Authors
Source
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-5, 5 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-01-08
Country of Publication
Egypt
No. of Pages
5
Main Subjects
Medicine
Information Technology and Computer Science
Abstract EN
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.
American Psychological Association (APA)
Wang, Yulin& Zhang, Gengxin. 2014. Compressed Wideband Spectrum Sensing Based on Discrete Cosine Transform. The Scientific World Journal،Vol. 2014, no. 2014, pp.1-5.
https://search.emarefa.net/detail/BIM-1049718
Modern Language Association (MLA)
Wang, Yulin& Zhang, Gengxin. Compressed Wideband Spectrum Sensing Based on Discrete Cosine Transform. The Scientific World Journal No. 2014 (2014), pp.1-5.
https://search.emarefa.net/detail/BIM-1049718
American Medical Association (AMA)
Wang, Yulin& Zhang, Gengxin. Compressed Wideband Spectrum Sensing Based on Discrete Cosine Transform. The Scientific World Journal. 2014. Vol. 2014, no. 2014, pp.1-5.
https://search.emarefa.net/detail/BIM-1049718
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1049718