NOISE TRANSFORMATION IN NONLINEAR SYSTEM WITH INTENSITY DEPENDENT PHASE ROTATION
نویسندگان
چکیده
منابع مشابه
Noise Transformation in Nonlinear System with Intensity Dependent Phase Rotation
The statistical behavior of a nonlinear system described by a mapping with phase rotation is studied. We use the Kolmogorov-Chapman equations for the multi-time probability distribution functions for investigation of dynamics under the external noise perturbations. We find a stationary solution in the long-time limit as a power series around a state with complete phase randomization (”phase mix...
متن کاملsynthesis of platinum nanostructures in two phase system
چکیده پلاتین، فلزی نجیب، پایدار و گران قیمت با خاصیت کاتالیزوری زیاد است که کاربرد های صنعتی فراوانی دارد. کمپلکس های پلاتین(ii) به عنوان دارو های ضد سرطان شناخته شدند و در شیمی درمانی بیماران سرطانی کاربرد دارند. خاصیت کاتالیزوری و عملکرد گزینشی پلاتین مستقیماً به اندازه و- شکل ماده ی پلاتینی بستگی دارد. بعضی از نانو ذرات فلزی در سطح مشترک مایع- مایع سنتز شده اند، اما نانو ساختار های پلاتین ب...
Nonlinear filtering by use of intensity-dependent polarization rotation in birefringent fibers.
We analyze the transmissivity of a nonlinear filter that is based on intensity-dependent polarization rotation in a birefringent fiber. It is shown that the transmissivity of the element depends not only on the intensity of the incident light but also on the time behavior of its amplitude. Such an element can be used as a derivator, an element that transmits only variations in the input pulse. ...
متن کاملTurbulence intensity pulse propagation with self-consistent nonlinear noise
Z. H. Wang, P. H. Diamond, Ö. D. Gürcan, X. Garbet, and X. G. Wang School of Physics and Optoelectronic Technology, Dalian University of Technology, Dalian 116024, China Department of Physics and Center for Astrophysics and Space Sciences, University of California at San Diego, La Jolla, California 92093-0424, USA WCI Center for Fusion Theory, National Fusion Research Institute, Gwahangno 113, ...
متن کاملNonlinear dynamical system identification with dynamic noise and observational noise
In this paper we consider the problem of whether a nonlinear system has dynamic noise and then estimate the level of dynamic noise to add to any model we build. The method we propose relies on a nonlinear model and an improved least squares method recently proposed on the assumption that observational noise is not large. We do not need any a priori knowledge for systems to be considered and we ...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Stochastics and Dynamics
سال: 2003
ISSN: 0219-4937,1793-6799
DOI: 10.1142/s0219493703000814