000 | a | ||
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999 |
_c30041 _d30041 |
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008 | 200611b xxu||||| |||| 00| 0 eng d | ||
020 | _a9788793379855 | ||
082 |
_a621.382 _bSAN |
||
100 | _aSankararajan, Radha | ||
245 | _aCompressive sensing for wireless communication : challenges and opportunities | ||
260 |
_bRiver publisher _c2016 _aDenmark |
||
300 |
_axxxvii, 454 p. _bill. (some col.) _c24 cm. |
||
365 |
_b85.00 _cEURO _d86.10 |
||
490 | _aRiver Publishers series in communications | ||
504 | _aIncludes bibliographical references and index | ||
520 | _aCompressed Sensing (CS) is a promising method that recovers the sparse and compressible signals from severely under-sampled measurements. CS can be applied to wireless communication to enhance its capabilities. As this technology is proliferating, it is possible to explore its need and benefits for emerging applications | ||
650 | _aWireless sensor networks | ||
650 | _awireless networks | ||
650 | _acognitive radio | ||
650 | _aimage processing | ||
700 | _aRajendran, Hemalatha | ||
700 | _aSukumaran, Aasha Nandhini | ||
942 |
_2ddc _cBK |