By Atsushi Uchida
Chapter 1 advent (pages 1–17):
Chapter 2 fundamentals of Chaos and Laser (pages 19–57):
Chapter three iteration of Chaos in Lasers (pages 59–143):
Chapter four research of Chaotic Laser Dynamics: instance of Semiconductor Laser with Optical suggestions (pages 145–210):
Chapter five Synchronization of Chaos in Lasers (pages 211–283):
Chapter 6 research of Synchronization of Chaos: instance of Unidirectionally Coupled Semiconductor Lasers with Optical suggestions (pages 285–339):
Chapter 7 uncomplicated thought of Optical conversation with Chaotic Lasers (pages 341–368):
Chapter eight Implementation of Optical communique with Chaotic Lasers (pages 369–425):
Chapter nine safe Key Distribution in response to Information?Theoretic safeguard with Chaotic Lasers (pages 427–444):
Chapter 10 Random quantity new release with Chaotic Lasers (pages 445–509):
Chapter eleven Controlling Chaos in Lasers (pages 511–532):
Chapter 12 different purposes with Chaotic Lasers (pages 533–556):
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Additional info for Optical Communication with Chaotic Lasers: Applications of Nonlinear Dynamics and Synchronization
0. 0. j 2 Basics of Chaos and Laser 30 transition is referred to as period-doubling route (scenario) to chaos, since the period of the sequence becomes doubled as the parameter value is increased. After the chaotic state, a period-3 sequence is observed at the region of a > 3:8284 . . A full chaotic state can be obtained at the region of a ¼ 4, in which irregular values of xn are observed in the whole region of 0 xn 1. , a transition from a periodic state to chaos through different periodic states) is a typical feature of deterministic chaos, and cannot be observed in a stochastic noise system.
A new temporal waveform is obtained at a new ﬁxed parameter value and the local maxima of the temporal waveform are sampled and plotted again. This procedure is repeated to create a bifurcation diagram. 12a. The parameter value of r is increased continuously. Different periodic oscillations are observed, where a single value of xðtÞ corresponds to a period-1 oscillation, two values correspond to a period-2 oscillation and so on. 12a indicate the occurrence of chaotic oscillations. 12a. 5 Lyapunov Exponent Methods for the calculation of the Lyapunov exponent have been extensively developed for both experimentally measured time series as well as from the integration of model equations for dynamical systems (Abarbanel, 1996; Kantz and Schreiber, 1997).
These dynamical states correspond to period-1, period-2, period-4, and chaotic sequences, respectively. 8 shows the bifurcation diagram of the Logistic map when a is changed continuously. To create the bifurcation diagram, some values of xn are plotted along the vertical axis at a ﬁxed value of a. Then, a is increased slightly and some values of new xn are plotted again at a newly ﬁxed a. This procedure of changing a and plotting xn is repeated. 8 clearly indicates different dynamical states of the sequences.