The Research on the Application of Compression Perception Technology in Mobile Telecommunication

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Abstract:

Compression perception is an emerging field which attracted considerable research interest in the past few years. Previous review restrain in limit their range to standard discrete-to – discrete measurement architectures using arrays of randomized nature and signal models which are based on standard exiguity. In the past few years, compression perception has worked in its way into some new application areas. In turn, this compels a caller look on many of the basics of the compression perception. The operator of the random arrays measurement should be took the place of more structured perception architectures that conform to the characteristics of available acquisition hardware. Generally speaking, the theme is exploiting signal and the potential of structured strategies of compression perception to appear from the math to the hardware.

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4726-4729

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May 2014

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© 2014 Trans Tech Publications Ltd. All Rights Reserved

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[1] E. Candes. J. Romberg, and T. Tao, Robust uncertainty principles: Exact signal reconstruction from highly imcomplete frequency information, IEEE Trans. Inform. Theory, vol. 53, no. 2, pp.489-509, Feb. (2006).

DOI: 10.1109/tit.2005.862083

Google Scholar

[2] D. Donoho, compressed sensing, IEEE Trans. Inform. Theory, vol. 52, no. 4, pp.1289-1306, Apr. (2006).

DOI: 10.1109/tit.2006.871582

Google Scholar

[3] R.G. Baraniuk, Compressive sensing, IEEE Signal Proc. Mag, vol. 24, no. 4. Pp. 118- 120, July (2007).

Google Scholar

[4] E. J Candes and M. B. Wakin, An introduction to compressive sampling, IEEE Signal Proc. Mag, vol 25. No. 2, pp.21-30, Mar, (2008).

DOI: 10.1109/msp.2007.914731

Google Scholar

[5] M. Betterli, P. Marziliano, and T. Blu, Sampling signals with finite rate of innovation, IEEE Trans. Signal Proc, vol. 50, no. 6, pp.1417-1428, (2002).

DOI: 10.1109/tsp.2002.1003065

Google Scholar