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2 edition of Optical signal processing using nonlinear periodic structures found in the catalog.

Optical signal processing using nonlinear periodic structures

Tim Ka Lung Wong

Optical signal processing using nonlinear periodic structures

study of resonant temporal response.

by Tim Ka Lung Wong

  • 193 Want to read
  • 20 Currently reading

Published .
Written in English


About the Edition

Our analysis shows an unbalanced structure performs better in reflected intensity limiting, while a balanced structure performs better in transmitted intensity limiting. Based on the tradeoff between nonlinear grating strength and saturable absorption, we discover that there exists an optimum saturable absorption coefficient for maximum transmittance, reflectance and pulse compression for a given built-in grating structure (i.e. no linear grating, out-of-phase grating). We show pulse compression up to 50% and pulse stretching up to 20%.We present the first time-domain analysis of Gaussian pulse propagation through resonant nonlinear periodic structures with balanced and unbalanced nonlinear coefficients. The transmission and reflection propagation dynamics are thoroughly analyzed with varying nonlinear and linear grating strengths, pulse width, input intensity, saturable absorption, device length, and carrier lifetime for single and multiple pulses.

The Physical Object
Pagination110 leaves.
Number of Pages110
ID Numbers
Open LibraryOL19512580M
ISBN 100612953742

Pulse shaping and compression in nonlinear periodic structures with unbalanced Kerr coefficients book ISBN: shaping methods Pulse compression methods Nonlinear optics Optical signal processing Nonlinear optical devices Resonance Space vector pulse width. Optical Signal Processing Computing and Neural Networks Book Summary: In recent years, optical computing and optical neural networks research has enriched the field originally known as optical signal processing. Optical Signal Processing, Computing, and Neural Networks is a self-contained textbook that offers an introductory survey which examines photonics, linear and nonlinear signal.

Nonlinear optics (NLO) is the branch of optics that describes the behaviour of light in nonlinear media, that is, media in which the polarization density P responds non-linearly to the electric field E of the light. The non-linearity is typically observed only at very high light intensities (values of atomic electric fields, typically 10 8 V/m) such as those provided by lasers. 2. Signal Processing in Optical Fibers The spectrum of electromagnetic waves of interest for different kinds of com-munication is shown in Figure 1. A typical communications system for using these waves to convey information is shown in Figure 2. This system assumes digitized information but is otherwiseFile Size: KB.

  Optically Efficient Nonlinear Signal Processing Abstract: Optical signal processing techniques employ a wide range of devices and various nonlinearities to achieve multiple network functionalities. The choice of nonlinearity can also impact the relative efficiency, both in terms of energy and material consumption, of the signal processing Cited by: Nonlinear Signal Processing: A Statistical Approach focuses on unifying the study of a broad and important class of nonlinear signal processing algorithms which emerge from statistical estimation principles, and where the underlying signals are non-Gaussian, rather than Gaussian, by:


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Optical signal processing using nonlinear periodic structures by Tim Ka Lung Wong Download PDF EPUB FB2

This work advances the field of optical signal processing using nonlinear periodic struc-tures. A novel approach to all-optical signal processing using nonlinear periodic struc-tures is proposed. The nonlinear response of various materials is measured, and nonlinear periodic structures are fabricated and characterized.

Optical Signal Processing Using Nonlinear Distributed Feedback Structures Lukasz Brzozowski and Edward H. Sargent, Member, IEEE Abstract— We analyzethe optical signalprocessing functionality of periodic structures consisting of alternating layers of materials possessing opposite Kerr nonlinearities.

By elaborating an analyt. This work presents the first time-domain analysis of pulse propagation through stable, balanced nonlinear periodic structures, with a focus on design towards all-optical signal processing applications. The propagation dynamics of ultrashort pulses in the nonlinear structures with varying grating lengths and linear grating strengths are investigated.

balanced nonlinear periodic structures, with a focus on design towards all-optical signal processing applications. The propagation dynamics of ultrashort pulses in the nonlinear structures with varying grating lengths and linear grating strengths are investigated.

In the absence of a linear grating, with two adjacent layers of nonlinear materials (n 1;2. This work presents the first time-domain analysis of pulse propagation through stable, balanced nonlinear periodic structures, with a focus on design towards all-optical signal processing applications.

The propagation dynamics of ultrashort pulses in the nonlinear structures with varying grating lengths and linear grating strengths are Author: and Winnie Ning Ye and Winnie Ning Ye. Covering a wide range of topics, this book: Introduces nonlinear systems and some mathematical representations, particularly the routes to chaos and bifurcation.

Describes nonlinear fiber lightwave lasing systems. Covers nonlinear phenomena in fiber lasers, including both passive and. It presents presents optical signal processing as solution to overcome the capacity crunch in communication networks.

The book content ranges from the development of innovative materials and devices, such as graphene and slow light structures, to the use of nonlinear optics for secure quantum information processing and overcoming the classical. Optical Signal Processing is a collection of synopses of the works of many experts in the different fields of optical signal processing.

The book also includes systems or algorithms that have been successfully tried and used. The monograph is divided into seven parts.

Optical Signal Processing is a collection of synopses of the works of many experts in the different fields of optical signal processing.

The book also includes systems or algorithms that have been successfully tried and used. The monograph is divided into seven Edition: 1.

Ultra-fast optical signal processing is a promising technology for future photonic networks. This paper describes possible applications of nonlinear fibers to optical signal processing.

The third-order optical nonlinearities in a fiber are discussed by analyzing the interaction of co-propagating optical by: 5. Optical Signal Processing Using Nonlinear Distributed Feedback Structures Authors: L. Brzozowski, E. Sargent Volume / Number: IEEE Journal of Quantum Electronics, vol.

36, pp. The book describes how to implement an optical data exchange based on the parametric depletion effect of a non-degenerate FWM process. The role of resonant structures and graphene in silicon waveguide devices to enhance nonlinear interactions is also discussed.

Moreover, optical signal processing, especially chip-scale nonlinear optical. Summary. Nonlinear Optical Systems: Principles, Phenomena, and Advanced Signal Processing is a simplified overview of the evolution of technology associated with nonlinear systems and advanced signal processing.

This book’s coverage ranges from fundamentals to phenomena to the most cutting-edge aspects of systems for next-generation biomedical monitoring and nonlinear optical transmission. Corcoran B, Monat C, Pelusi M, Grillet C, White T P, O’Faolain L, Krauss T F, Eggleton B J and Moss D J Optical signal processing on a silicon chip at Gbs − 1 using slow-light Opt.

Express 18 Crossref PubMed. The quest for all-optical signal processing is generally deemed to be impractical because optical nonlinearities are usually weak. The emerging field of Cited by: This feature distinguishes this scheme from other OPLs using periodically nonlinear optical materials because the latter may show chaotic behavior and exhibit no saturation of the transmitted optical intensity.

Furthermore, this feature is quite essential for optical signal processing operations. Download: Download full-size image; Fig. A nonlinear periodic optical structure consists of Cited by: 2.

Nonlinear Optics in Signal Processing covers the applications of nonlinear optics to optical processing in a range of areas including switching, computing, and telecommunications.

The periodic optical structures can be used as uniform switches between lower-transmissive and higher-transmissive states if the structures are sufficiently long and out-of-phase, i.e., when the. We discuss the challenges associated with slow light in these 2D structures and their unique advantage—dispersion engineering—for creating broadband nonlinear devices for all-optical signal.

Optical communication based on the periodic nonlinear Fourier transform signal processing Morteza Kamalian Kopae, Jaroslaw E. Prilepsky, Son Thai Le, and Sergei K. Turitsyn Aston Institute of Photonic Technologies, Aston University, Birmingham, B4 7ET, UK Email: [email protected] Abstract—In this work we introduce the periodic nonlinear.

Slow light enhanced nonlinear optics in periodic structures. C Monat, 2D structures and their unique advantage—dispersion engineering—for creating broadband nonlinear devices for all-optical signal processing.

By breaking down the relation between dispersion and group velocity imposed in gratings, these structures also offer new.Abstract: Optical signal processing brings together various fields of optics and signal processing - namely, nonlinear devices and processes, analog and digital signals, and advanced data modulation formats - to achieve high-speed signal processing functions that can potentially operate at the line rate of fiber optic communications.

Information can be encoded in amplitude, phase, wavelength Cited by:   Analysis of laser radiation using the Nonlinear Fourier transform the NFT in the optical signal processing and the time-domain signal is highly nonlinear and significantly changes with the Author: Srikanth Sugavanam, Morteza Kamalian Kopae, Junsong Peng, Jaroslaw E.

Prilepsky, Sergei K. Turitsyn.