000 | 03697cam a2200625 i 4500 | ||
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001 | ocn889688567 | ||
003 | OCoLC | ||
005 | 20171026112250.0 | ||
006 | m o d | ||
007 | cr ||||||||||| | ||
008 | 140829s2015 nju ob 001 0 eng | ||
010 | _a 2014034882 | ||
020 | _a9781118906514 (ePub) | ||
020 | _a1118906519 (ePub) | ||
020 | _a9781118906521 (Adobe PDF) | ||
020 | _a1118906527 (Adobe PDF) | ||
020 | _z9781118906491 (cloth) | ||
020 | _a9781118906507 | ||
020 | _a1118906500 | ||
020 | _z1118906497 | ||
028 | 0 | 1 |
_aEB00591929 _bRecorded Books |
029 | 1 |
_aAU@ _b000053659441 |
|
029 | 1 |
_aNZ1 _b15913633 |
|
029 | 1 |
_aCHVBK _b334084180 |
|
029 | 1 |
_aCHBIS _b010442297 |
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029 | 1 |
_aDEBSZ _b431873879 |
|
029 | 1 |
_aDEBSZ _b449477037 |
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029 | 1 |
_aDEBBG _bBV043397092 |
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035 |
_a(OCoLC)889688567 _z(OCoLC)903173183 _z(OCoLC)911063535 |
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040 |
_aDLC _beng _erda _cDLC _dYDX _dN$T _dEBLCP _dDG1 _dCDX _dOCLCF _dCOO _dDEBSZ _dS4S _dRECBK _dDEBBG _dVLB _dK6U |
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042 | _apcc | ||
049 | _aMAIN | ||
050 | 0 | 0 | _aTK5102.9 |
072 | 7 |
_aTEC _x009070 _2bisacsh |
|
082 | 0 | 0 |
_a621.3815/36 _223 |
100 | 1 | _aZhu, Zhechen. | |
245 | 1 | 0 |
_aAutomatic modulation classification : principles, algorithms, and applications / _cZhechen Zhu and Asoke K. Nand. _h[electronic resource] |
264 | 1 |
_aHoboken : _bJohn Wiley & Sons Inc., _c2015. |
|
300 | _a1 online resource. | ||
336 |
_atext _2rdacontent |
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337 |
_acomputer _2rdamedia |
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338 |
_aonline resource _2rdacarrier |
||
504 | _aIncludes bibliographical references and index. | ||
520 | _aAutomatic Modulation Classification (AMC) has been a key technology in many military, security, and civilian telecommunication applications for decades. In military and security applications, modulation often serves as another level of encryption; in modern civilian applications, multiple modulation types can be employed by a signal transmitter to control the data rate and link reliability. This book offers comprehensive documentation of AMC models, algorithms and implementations for successful modulation recognition. It provides an invaluable theoretical and numerical comparison of AMC algorithms, as well as guidance on state-of-the-art classification designs with specific military and civilian applications in mind. Key Features: -Provides an important collection of AMC algorithms in five major categories, from likelihood-based classifiers and distribution-test-based classifiers to feature-based classifiers, machine learning assisted classifiers and blind modulation classifiers -Lists detailed implementation for each algorithm based on a unified theoretical background and a comprehensive theoretical and numerical performance comparison -Gives clear guidance for the design of specific automatic modulation classifiers for different practical applications in both civilian and military communication systems -Includes a MATLAB toolbox on a companion website offering the implementation of a selection of methods discussed in the book. | ||
588 | _aDescription based on print version record and CIP data provided by publisher. | ||
650 | 0 | _aModulation (Electronics) | |
650 | 7 |
_aTECHNOLOGY & ENGINEERING _xMechanical. _2bisacsh |
|
650 | 7 |
_aModulation (Electronics) _2fast _0(OCoLC)fst01024511 |
|
655 | 4 | _aElectronic books. | |
655 | 0 | _aElectronic books. | |
700 | 1 | _aNandi, Asoke Kumar. | |
776 | 0 | 8 |
_iPrint version: _aZhu, Zhechen. _tAutomatic modulation classification _dHoboken : John Wiley & Sons Inc., 2015 _z9781118906491 _w(DLC) 2014032270 |
856 | 4 | 0 |
_uhttp://onlinelibrary.wiley.com/book/10.1002/9781118906507 _zWiley Online Library |
942 |
_2ddc _cBK |
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999 |
_c207648 _d207648 |