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Volume 32 Issue 2
Aug.  2010
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Cheng De-bao, Hu Feng-ming, Yang Ru-liang. Study on Target Detection of SAR Image Using Improved Fractal Feature[J]. Journal of Electronics & Information Technology, 2009, 31(1): 164-168. doi: 10.3724/SP.J.1146.2008.00416
Citation: Jin Jian, Gu Yuan-tao, Mei Shun-liang. An Introduction to Compressive Sampling and Its Applications[J]. Journal of Electronics & Information Technology, 2010, 32(2): 470-475. doi: 10.3724/SP.J.1146.2009.00497

An Introduction to Compressive Sampling and Its Applications

doi: 10.3724/SP.J.1146.2009.00497
  • Received Date: 2009-04-07
  • Rev Recd Date: 2009-07-27
  • Publish Date: 2010-02-19
  • The problems of how to reduce the sampling rate in the broadband analog signal digitization and how to compress effectively the large amount of data for storage are always concerned by researchers. The recent proposed Compressive Sampling or Compressive Sensing method to solve the said problems is introduced in this paper. The method, which employs non-adaptive linear projections that preserve the structure of the signal, can capture and represent the compressible signal at a rate significantly below Nyquist rate. This paper not only presents the key procedures of this theory but also lists a variety of applications and points out the questions to be studied.
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