000			02966cam a2200433 a 4500
999			_c9498 _d9498
001			15462082
005			20190509132542.0
008			080923s2009 enka b 001 0 eng
010			_a 2008042115
020			_a9780198570776
020			_a0198570775
035			_a(OCoLC)ocn259716034
035			_a(OCoLC)259716034
040			_aDLC _cDLC _dBWKUK _dBWK _dBWX _dYDXCP _dCDX _dDLC _erda
050	0	0	_aQC20.7.S8 _bF54 2009
082	0	0	_a530.141 _222 _bF.T.E
100	1		_aField, Timothy R.
245	1	0	_aElectromagnetic scattering from random media / _cTimothy R. Field.
260			_aOxford ; _aNew York : _bOxford University Press, _c2009.
264			_aOxford ; _aNew York : _bOxford University Press, _c2009.
300			_axiii, 184 p. : _bill. ; _c25 cm.
336			_2rdacontent _atext
337			_2rdamedia _aunmediated
338			_2rdacarrier _avolume
490	1		_aInternational series of monographs on physics ; _v144
500			_aengineering bookfair2015
504			_aIncludes bibliographical references (p. 174-180) and index.
505		0	_aPART I: STOCHASTIC CALCULUS ; 1. Heat equation and Brownian motion ; 2. Ito calculus ; 3. Stochastic differential geometry ; 4. Examples of stochastic differential equations ; PART II: SCATTERING DYNAMICS ; 5. Diffusion models in electromagnetic scattering ; 6. Rayleigh scattering ; 7. Population dynamics ; 8. Dynamics of K-scattering ; 9. Models of weak scattering ; 10. Scattering from general populations ; PART III: SIMULATION AND EXPERIMENT ; 11. Simulation of K-scattering ; 12. Experimental tests ; 13. Non-linear dynamics of sea clutter ; 14. Observability of scattering cross-section ; APPENDICES ; A. Stability and infinite divisibility ; B. Ito versus Stratonovich stochastic integrals ; C. Filtrations, conditional probability and Markov property ; D. Girsanov's theorem ; E. Partition function solution to BDI model ; F. Summary of K-scattering ; G. Iterative solution for vector processes ; H. Open problems ; I. Suggested further reading ; References ; Index
520			_aThe book develops the dynamical theory of scattering from random media from first principles. Its key findings are to characterize the time evolution of the scattered field in terms of stochastic differential equations, and to illustrate this framework in simulation and experimental data analysis.
650		0	_aStochastic processes.
650		0	_aRandom fields.
650		0	_aMathematical physics.
650		0	_aElectromagnetic waves _xScattering.
830		0	_aInternational series of monographs on physics (Oxford, England) ; _v144.
856			_3Abstract _uhttp://repository.fue.edu.eg/xmlui/handle/123456789/2872
906			_a7 _bcbc _corignew _d1 _eecip _f20 _gy-gencatlg
942			_2ddc _cBK