Optical Signal Processing: Advances and Perspectives

A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Optics and Lasers".

Deadline for manuscript submissions: closed (30 April 2018) | Viewed by 7207

Special Issue Editors


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Guest Editor
Wuhan National Laboratory for Optoelectronics, Huazhong University of Science and Technology, Wuhan 430074, China
Interests: structured light; orbital angular momentum; few-mode fibers; multi-mode fibers; multi-core fibers; photonic integration
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Guest Editor
Integrated Research Center for Photonic Networks Technologies, Photonic Networks National Laboratory – CNIT, Pisa, Italy
Interests: microwave photonics; ultra-fast optical communications; photonic digital processing and nonlinear optics
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

The arrival of the big data era has fueled the increasing demand on both high-speed signal transmission and ultrafast signal processing. Optical signal processing is a promising technique to facilitate ultrafast signal processing in the optical domain, which can avoid cumbersome optical-electrical-optical (OEO) conversion. Optical signal processing brings together various fields of optics and signal processing, e.g., linear and nonlinear optics enable various processing functions in analog and digital signals, with data information encoded in different physical dimensions (amplitude, phase, wavelength/frequency, polarization, and spatial structure) of lightwaves. Recent advances in mechanisms, materials, devices/platforms and techniques have motivated wide optical signal processing applications, such as wavelength conversion, (de)multiplexing, multicasting, logic gate, computing, switching, true time delay, optical buffer, regeneration, etc. Optical signal processing may open up new perspectives to ultrafast signal processing for high-speed optical communications and superior network performance.

This Special Issue aims to explore the recent enabling devices and techniques motivating optical signal processing. It will focus on the state-of-the-art advances and future perspectives of optical signal processing.

Topics of interest include, but are not limited to, the following areas:

  • Mechanisms, materials, devices/platforms, techniques for optical signal processing.
  • Linear optics and various optical nonlinearities for optical signal processing.
  • Semiconductor optical amplifiers, highly nonlinear fiber, periodically poled lithium niobate waveguides, photonic integrated circuits, graphene for optical signal processing.
  • Chip-scale optical signal processing on silicon platforms.
  • Modulation and detection of multi-level modulation signals in coherent optical communications.
  • High-base optical signal processing for multi-level modulation signals.
  • Optical signal processing exploiting the spatial structure of lightwaves.
  • High-speed electronics assisted advanced digital signal processing (DSP) for optical signal processing.
  • Various optical signal processing functions, such as wavelength conversion, (de)multiplexing, multicasting, logic gate, computing, switching, true time delay, optical buffer, regeneration, etc.

Prof. Jian Wang
Prof. Antonella Bogoni
Guest Editors

Manuscript Submission Information

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Published Papers (1 paper)

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Article
Modified Godard Timing Recovery for Non Integer Oversampling Receivers
by Arne Josten, Benedikt Baeuerle, Edwin Dornbierer, Jonathan Boesser, David Hillerkuss and Juerg Leuthold
Appl. Sci. 2017, 7(7), 655; https://doi.org/10.3390/app7070655 - 24 Jun 2017
Cited by 29 | Viewed by 6788
Abstract
A timing recovery algorithm is introduced that operates with less than two samples per symbol and provides an enormous complexity reduction. The complexity reduction is due to a synergy with the already existing Fourier transforms in a coherent receiver, an avoidance of terms [...] Read more.
A timing recovery algorithm is introduced that operates with less than two samples per symbol and provides an enormous complexity reduction. The complexity reduction is due to a synergy with the already existing Fourier transforms in a coherent receiver, an avoidance of terms that are dominated by noise, and a complete elimination of multiplications. A simulation and an experiment with a single carrier modulation format show that the inherent timing jitter is, despite of the significant complexity reduction, comparable with the state of the art, and in particular outperforms the Godard algorithm for low roll-off factors. In addition, it is one of the few algorithms that operates with less than two samples per symbol in the frequency domain, and thus enables the lowest complexity in a receiver. Full article
(This article belongs to the Special Issue Optical Signal Processing: Advances and Perspectives)
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