000			03533cam a2200337 a 4500
001			16795483
005			20170828113903.0
008			110524s2012 njua b 001 0 eng
010			_a 2011021431 _z 2012015863
020			_a9780470948477
040			_aDLC _cDLC _dDLC
042			_apcc
050	0	0	_aQ386 _b.M54 2012
082	0	0	_a003.54 _223 _bMID-N
084			_aSCI067000 _2bisacsh
100	1		_aMiddleton, David
245	1	0	_aNon-Gaussian statistical communication theory _cDavid Middleton.
260			_aHoboken, N.J. : _bWiley, _cc2012.
300			_axxvi, 631 p. : _bill. ; _c26 cm.
490	0		_aIEEE series on digital & mobile communication ; _v22
504			_aIncludes bibliographical references and index.
520			_a"The book is based on the observation that communication is the central operation of discovery in all the sciences. In its "active mode" we use it to "interrogate" the physical world, sending appropriate "signals" and receiving nature's "reply". In the "passive mode" we receive nature's signals directly. Since we never know a prioriwhat particular return signal will be forthcoming, we must necessarily adopt a probabilistic model of communication. This has developed over the approximately seventy years since it's beginning, into a Statistical Communication Theory (or SCT). Here it is the set or ensemble of possible results which is meaningful. From this ensemble we attempt to construct in the appropriate model format, based on our understanding of the observed physical data and on the associated statistical mechanism, analytically represented by suitable probability measures.Since its inception in the late '30's of the last century, and in particular subsequent to World War II, SCT has grown into a major field of study. As we have noted above, SCT is applicable to all branches of science. The latter itself is inherently and ultimately probabilistic at all levels. Moreover, in the natural world there is always a random background "noise" as well as an inherent a priori uncertainty in the presentation of deterministic observations, i.e. those which are specifically obtained, a posteriori.The purpose of the book is to introduce Non-Gaussian statistical communication theory and demonstrate how the theory improves probabilistic model. The book was originally planed to include 24 chapters as seen in the table of preface. Dr. Middleton completed first 10 chapters prior to his passing in 2008. Bibliography which represents remaining chapters are put together by the author's close colleagues; Drs. Vincent Poor, Leon Cohen and John Anderson"--
520			_a"The book is based on the observation that communication is the central operation of discovery in all the sciences. In its "active mode" we use it to "interrogate" the physical world, sending appropriate "signals" and receiving nature's "reply". In the "passive mode" we receive nature's signals directly. Since we never know a priori what particular return signal will be forthcoming, we must necessarily adopt a probabilistic model of communication"--
650		0	_aStatistical communication theory.
650		0	_aInformation theory _xStatistical methods.
650		0	_aGaussian processes.
650		7	_aSCIENCE / Waves & Wave Mechanics _2bisacsh.
906			_a7 _bcbc _corignew _d1 _eecip _f20 _gy-gencatlg
942			_2ddc _cBK
999			_c9858 _d9858