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224 results on '"Bill Corcoran"'

1. Photonic signal processor based on a Kerr microcomb for real-time video image processing

Author

Mengxi Tan, Xingyuan Xu, Andreas Boes, Bill Corcoran, Thach G. Nguyen, Sai T. Chu, Brent E. Little, Roberto Morandotti, Jiayang Wu, Arnan Mitchell, and David J. Moss

Subjects
Engineering (General). Civil engineering (General), TA1-2040
Abstract

Abstract Signal processing has become central to many fields, from coherent optical telecommunications, where it is used to compensate signal impairments, to video image processing. Image processing is particularly important for observational astronomy, medical diagnosis, autonomous driving, big data and artificial intelligence. For these applications, signal processing traditionally has mainly been performed electronically. However these, as well as new applications, particularly those involving real time video image processing, are creating unprecedented demand for ultrahigh performance, including high bandwidth and reduced energy consumption. Here, we demonstrate a photonic signal processor operating at 17 Terabits/s and use it to process video image signals in real-time. The system processes 400,000 video signals concurrently, performing 34 functions simultaneously that are key to object edge detection, edge enhancement and motion blur. As compared with spatial-light devices used for image processing, our system is not only ultra-high speed but highly reconfigurable and programable, able to perform many different functions without any change to the physical hardware. Our approach is based on an integrated Kerr soliton crystal microcomb, and opens up new avenues for ultrafast robotic vision and machine learning.

Published
2023
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2. A perspective on optical microcomb distillation: A tool to break power barriers for tiny rainbows

Author

Bill Corcoran and Chawaphon Prayoonyong

Subjects
Applied optics. Photonics, TA1501-1820
Abstract

Optical microcombs are compact photonic-chip-based devices able to produce precise optical frequency combs. However, these combs are often limited in power, which can provide issues for implementation, especially for optical communications. Here, we provide our perspective on the use of a suite of techniques and technologies we call “comb distillation,” to help enable high-power, low-noise microcombs.

Published
2024
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3. Processing Accuracy of Microcomb-Based Microwave Photonic Signal Processors for Different Input Signal Waveforms

Author

Yang Li, Yang Sun, Jiayang Wu, Guanghui Ren, Bill Corcoran, Xingyuan Xu, Sai T. Chu, Brent. E. Little, Roberto Morandotti, Arnan Mitchell, and David J. Moss

Subjects
optical microcombs, microwave photonic, signal processing, Applied optics. Photonics, TA1501-1820
Abstract

Microwave photonic (MWP) signal processors, which process microwave signals based on photonic technologies, bring advantages intrinsic to photonics such as low loss, large processing bandwidth, and strong immunity to electromagnetic interference. Optical microcombs can offer a large number of wavelength channels and compact device footprints, which make them powerful multi-wavelength sources for MWP signal processors to realize a variety of processing functions. In this paper, we experimentally demonstrate the capability of microcomb-based MWP signal processors to handle diverse input signal waveforms. In addition, we quantify the processing accuracy for different input signal waveforms, including Gaussian, triangle, parabolic, super Gaussian, and nearly square waveforms. Finally, we analyse the factors contributing to the difference in the processing accuracy among the different input waveforms, and our theoretical analysis well elucidates the experimental results. These results provide guidance for microcomb-based MWP signal processors when processing microwave signals of various waveforms.

Published
2023
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4. Ultra-dense optical data transmission over standard fibre with a single chip source

Author

Bill Corcoran, Mengxi Tan, Xingyuan Xu, Andreas Boes, Jiayang Wu, Thach G. Nguyen, Sai T. Chu, Brent E. Little, Roberto Morandotti, Arnan Mitchell, and David J. Moss

Subjects
Science
Abstract

Microcombs provide many opportunities for integration in optical communications systems. Here, the authors implement a soliton crystal microcomb as a tool to demonstrate more than 44 Tb/s communications with high spectral efficiency.

Published
2020
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44. Highly Versatile Broadband RF Photonic Fractional Hilbert Transformer Based on a Kerr Soliton Crystal Microcomb

Author

Mengxi Tan, Xingyuan Xu, Andreas Boes, Bill Corcoran, Jiayang Wu, Thach G. Nguyen, Sai T. Chu, Brent E. Little, Arthur J. Lowery, Roberto Morandotti, Arnan Mitchell, and David J. Moss

Subjects
Physics, business.industry, Physics::Optics, Soliton (optics), Atomic and Molecular Physics, and Optics, law.invention, Band-pass filter, law, Broadband, Phase response, Baseband, Optoelectronics, Photonics, business, Transformer, Free spectral range
Abstract

We demonstrate an RF photonic fractional Hilbert transformer based on an integrated Kerr micro-comb source featuring a record low free spectral range of 48.9 GHz, yielding 75 microcomb lines across the C-band. By programming and shaping the comb lines according to calculated tap weights, we demonstrate that the Hilbert transformer can achieve tunable bandwidths ranging from 1.2 to 15.3 GHz, switchable centre frequencies from baseband to 9.5 GHz, and arbitrary fractional orders. We experimentally characterize the RF amplitude and phase response of the tunable bandpass and lowpass Hilbert transformers with 90 and 45-degree phase shift. The experimental results show good agreement with theory, confirming the effectiveness of our approach as a powerful way to implement the standard as well as fractional Hilbert transformers with broad and switchable processing bandwidths and centre frequencies, together with high reconfigurability and greatly reduced size and complexity.

Published
2021

45. Effects of Receiver-Side Optical Filtering On Optical Superchannel System Performance

Author

Chawaphon Prayoonyong and Bill Corcoran

Subjects
Optical amplifier, Optical fiber, Computer science, business.industry, Bandwidth (signal processing), Physics::Optics, 02 engineering and technology, Noise (electronics), Atomic and Molecular Physics, and Optics, law.invention, 020210 optoelectronics & photonics, Optics, law, 0202 electrical engineering, electronic engineering, information engineering, Bit error rate, Transceiver, Optical filter, business, Adaptive optics
Abstract

Optical superchannels provide a route to obtaining the highest achievable data rates in optical fiber systems. Here, we investigate the role of optical filtering on system performance and required optical signal-to-noise ratio, when receiving a single sub-band from an optical superchannel, where the dominant noise source changes from optical to transceiver noise. We find that optical filtering can provide improvement up to 3 dB in signal quality and around 1 b/symbol in information rate, in an experiment where transceiver noise is dominant.

Published
2021

48. 18 Tb/s photonic digital signal processor for real time video image processing

Author

Mengxi Tan, xingyuan xu, andreas boes, Bill Corcoran, thach Nguyen, Sai Chu, Brent Little, Roberto Morandotti, Jiayang Wu, Arnan Mitchell, and David Moss

Abstract

Digital signal processing has become central to many fields, from coherent optical telecommunications where it is used to compensate signal impairments, to video image processing. Image processing in particular is important for observational astronomy, medical diagnosis, autonomous driving, big data and particularly artificial intelligence. Digital signal processing is mainly performed electronically, but new applications, particularly those involving real time video image processing, are creating unprecedented demand for ultrahigh performance, including bandwidth and reduced energy consumption. Here, we demonstrate a photonic digital signal processor operating at 18 Terabits/s and use it to process multiple simultaneous video signals in real-time. The system processes 400,000 video signals concurrently, performing 34 functions simultaneously that are key to object edge detection, edge enhancement and motion blur. As compared with spatial-light devices used for image processing, our system is not only ultra-high speed but highly reconfigurable and programable, able to perform many different functions without any change to the physical hardware. Our approach, based on an integrated Kerr soliton crystal microcomb, opens up new avenues for ultrafast robotic vision and machine learning.

Published
2022

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