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Journal articles on the topic 'Self Coherent detection'

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Author: Grafiati

Published: 14 March 2023

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1

Li, Xueyang, Maurice O’Sullivan, Zhenping Xing, Md Samiul Alam, Mohammad E. Mousa-Pasandi, and David V. Plant. "Asymmetric self-coherent detection." Optics Express 29, no. 16 (July 26, 2021): 25412. http://dx.doi.org/10.1364/oe.421603.

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2

Liu, Xiang, S. Chandrasekhar, and Andreas Leven. "Digital self-coherent detection." Optics Express 16, no. 2 (2008): 792. http://dx.doi.org/10.1364/oe.16.000792.

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3

Li, Jingshi, Muhammad Rodlin Billah, Philipp C. Schindler, Matthias Lauermann, Sven Schuele, Stefan Hengsbach, Uwe Hollenbach, et al. "Four-in-one interferometer for coherent and self-coherent detection." Optics Express 21, no. 11 (May 24, 2013): 13293. http://dx.doi.org/10.1364/oe.21.013293.

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4

Li, Jingshi, Rene Schmogrow, David Hillerkuss, Philipp C. Schindler, Moshe Nazarthy, Carsten Schmidt-Langhorst, Shalva-Ben Ezra, et al. "A self-coherent receiver for detection of PolMUX coherent signals." Optics Express 20, no. 19 (September 4, 2012): 21413. http://dx.doi.org/10.1364/oe.20.021413.

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5

Li, Xueyang, Maurice OaSullivan, Zhenping Xing, Mohammad E. Mousa-Pasandi, and David V. Plant. "Asymmetric Self-Coherent Detection Based on Mach-Zehnder Interferometers." Journal of Lightwave Technology 40, no. 7 (April 1, 2022): 2023–32. http://dx.doi.org/10.1109/jlt.2021.3135000.

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6

Onn, Omer, and Ofer Amrani. "Self-coherent detection for optical OFDM via polarization diversity." OSA Continuum 2, no. 5 (April 18, 2019): 1600. http://dx.doi.org/10.1364/osac.2.001600.

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7

Che, Di, Qian Hu, and William Shieh. "Linearization of Direct Detection Optical Channels Using Self-Coherent Subsystems." Journal of Lightwave Technology 34, no. 2 (January 15, 2016): 516–24. http://dx.doi.org/10.1109/jlt.2015.2510624.

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8

Huynh, Tam N., Lim Nguyen, and Liam P. Barry. "Novel coherent self-heterodyne receiver based on phase modulation detection." Optics Express 20, no. 6 (March 6, 2012): 6610. http://dx.doi.org/10.1364/oe.20.006610.

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9

Baudoz, P., A. Boccaletti, J. Baudrand, and D. Rouan. "The Self-Coherent Camera: a new tool for planet detection." Proceedings of the International Astronomical Union 1, no. C200 (October 2005): 553–58. http://dx.doi.org/10.1017/s174392130600994x.

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10

Nazarathy, Moshe, Xiang Liu, Louis Christen, Yannick K. Lize, and Alan E. Willner. "Self-Coherent Multisymbol Detection of Optical Differential Phase-Shift Keying." Journal of Lightwave Technology 26, no. 13 (July 2008): 1921–34. http://dx.doi.org/10.1109/jlt.2007.912055.

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11

Huynh, Tam N., Lim Nguyen, and Liam P. Barry. "Delayed Self-Heterodyne Phase Noise Measurements With Coherent Phase Modulation Detection." IEEE Photonics Technology Letters 24, no. 4 (February 2012): 249–51. http://dx.doi.org/10.1109/lpt.2011.2174216.

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12

Souw, Bernard Eng-Kie. "Coherent telescope array with self-homodyne interferometric detection for optical communications." Optical Engineering 42, no. 11 (November 1, 2003): 3139. http://dx.doi.org/10.1117/1.1612512.

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13

Jia, Junchi, Shiwei Zhou, Songnian Fu, Lei Deng, and Ming Tang. "Subcarrier multiplexing based self-heterodyne coherent detection for PM-16QAM format." Optics Communications 351 (September 2015): 160–66. http://dx.doi.org/10.1016/j.optcom.2015.04.055.

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14

Zhang, Zhihao, Fangbo Zhang, Bo Xu, Hongqiang Xie, Botao Fu, Xu Lu, Ning Zhang, et al. "High-Sensitivity Gas Detection with Air-Lasing-Assisted Coherent Raman Spectroscopy." Ultrafast Science 2022 (April 8, 2022): 1–8. http://dx.doi.org/10.34133/2022/9761458.

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Remote or standoff detection of greenhouse gases, air pollutants, and biological agents with innovative ultrafast laser technology attracts growing interests in recent years. Hybrid femtosecond/picosecond coherent Raman spectroscopy is considered as one of the most versatile techniques due to its great advantages in terms of detection sensitivity and chemical specificity. However, the simultaneous requirement for the femtosecond pump and the picosecond probe increases the complexity of optical system. Herein, we demonstrate that air lasing naturally created inside a filament can serve as an ideal light source to probe Raman coherence excited by the femtosecond pump, producing coherent Raman signal with molecular vibrational signatures. The combination of pulse self-compression effect and air lasing action during filamentation improves Raman excitation efficiency and greatly simplifies the experimental setup. The air-lasing-assisted Raman spectroscopy was applied to quantitatively detect greenhouse gases mixed in air, and it was found that the minimum detectable concentrations of CO2 and SF6 can reach 0.1% and 0.03%, respectively. The ingenious designs, especially the optimization of pump-seed delay and the choice of perpendicular polarization, ensure a high detection sensitivity and signal stability. Moreover, it is demonstrated that this method can be used for simultaneously measuring CO2 and SF6 gases and distinguishing 12CO2 and 13CO2. The developed scheme provides a new route for high-sensitivity standoff detection and combustion diagnosis.

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15

Zhu, Shitao, Xiaoming Chen, Xuehan Pan, Xiaoli Dong, Hongyu Shi, Anxue Zhang, and Zhuo Xu. "Self-Adaption Matched Filter and Bi-Directional Difference Method for Moving Target Detection." Sensors 18, no. 10 (September 20, 2018): 3177. http://dx.doi.org/10.3390/s18103177.

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In this paper, a self-adaption matched filter (SMF) and bi-directional difference techniques are proposed to detect a small moving target in urban environments. Firstly, the SMF technique is proposed to improve the signal-to-interference-noise ratio (SINR) by using the power factor. The properties of the transmitting signal, the target echoes and the interference and noise are considered during the power factor generation. The amplitude coherent accumulation technique that extracts the coherent amplitude information of echoes after being processed by the SMF, is used to improve the SINR based on multiple measurements. Finally, the bi-directional difference technique is proposed to distinguish the target echoes and the interference/noise. Simulations and experiments are conducted to validate and demonstrate that small moving targets can be detected with high probability using the proposed method in urban environments, even with just one measurement.

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16

Banchi, Luca, Marco Presi, Roberto Proietti, and Ernesto Ciaramella. "System feasibility of using stimulated Brillouin scattering in self coherent detection schemes." Optics Express 18, no. 12 (May 28, 2010): 12702. http://dx.doi.org/10.1364/oe.18.012702.

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17

Luis, Ruben S., Benjamin J. Puttnam, Jose Manuel Delgado Mendinueta, Werner Klaus, Jun Sakaguchi, Yoshinari Awaji, Tetsuya Kawanishi, Atsushi Kanno, and Naoya Wada. "OSNR Penalty of Self-Homodyne Coherent Detection in Spatial-Division-Multiplexing Systems." IEEE Photonics Technology Letters 26, no. 5 (March 2014): 477–79. http://dx.doi.org/10.1109/lpt.2013.2297445.

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18

Fleming, B. J. W., D. Yu, R. G. Harrison, and D. Jubb. "Wavelet-based detection of coherent structures and self-affinity in financial data." European Physical Journal B 20, no. 4 (April 2001): 543–46. http://dx.doi.org/10.1007/s100510170236.

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19

Gondane, Jyoti, and Meena S. Panse. "Development of an Optical System for Non-Contact Type Measurement of Heart Rate and Heart Rate Variability." Applied System Innovation 4, no. 3 (July 28, 2021): 48. http://dx.doi.org/10.3390/asi4030048.

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Self-mixing optical coherent detection is a non-contact measurement technique which provides accurate information about the vibration frequency of any test subject. In this research, novel designs of optical homodyne and heterodyne detection techniques are explained. Homodyne and heterodyne setups are used for measuring the frequency of the modulated optical signal. This technique works on the principle of the optical interferometer, which provides a coherent detection of two self-mixing beams. In the optical homodyne technique, one of the two beams receives direct modulation from the vibration frequency of the test subject. In the optical heterodyne detection technique, one of the two optical beams is subjected to modulation by an acousto-optics modulator before becoming further modulated by the vibration frequency of the test subject. These two optical signals form an interference pattern that contains the information of the vibration frequency. The measurement of cardiovascular signals, such as heart rate and heart rate variability, are performed with both homodyne and heterodyne techniques. The optical coherent detection technique provides a high accuracy for the measurement of heart period and heart rate variability. The vibrocardiogram output obtained from both techniques are compared for different heart rate values. Results obtained from both optical homodyne and heterodyne detection techniques are compared and found to be within 1% of deviation value. The results obtained from both the optical techniques have a deviation of less than 1 beat per minute from their corresponding ECG values.

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20

Adinolfi, G. M., S. Cesca, M. Picozzi, S. Heimann, and A. Zollo. "Detection of weak seismic sequences based on arrival time coherence and empiric network detectability: an application at a near fault observatory." Geophysical Journal International 218, no. 3 (July 9, 2019): 2054–65. http://dx.doi.org/10.1093/gji/ggz248.

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SUMMARY Microseismic monitoring is a primary tool for understanding and tracking the progress of mechanical processes occurring in active rock fracture systems. In geothermal or hydrocarbon fields or along seismogenic fault systems, the detection and location of microseismicity facilitates resolution of the fracture system geometry and the investigation of the interaction between fluids and rocks, in response of stress field perturbations. Seismic monitoring aims to detect locate and characterize seismic sources. The detection of weak signals is often achieved at the cost of increasing the number of false detections, related to transient signals generated by a range of noise sources, or related to instrumental problems, ambient conditions or human activity that often affect seismic records. A variety of fast and automated methods has been recently proposed to detect and locate microseismicity based on the coherent detection of signal anomalies, such as increase in amplitude or coherent polarization, at dense seismic networks. While these methods proved to be very powerful to detect weak events and to reduce the magnitude of completeness, a major problem remains to discriminate among weak seismic signals produced by microseismicity and false detections. In this work, the microseimic data recorded along the Irpinia fault zone (Southern Apennines, Italy) are analysed to detect weak, natural earthquakes using one of such automated, migration-based, method. We propose a new method for the automatic discrimination of real vs false detections, which is based on empirical data and information about the detectability (i.e. detection capability) of the seismic network. Our approach allows obtaining high performances in detecting earthquakes without requiring a visual inspection of the seismic signals and minimizing analyst intervention. The proposed methodology is automated, self-updating and can be tuned at different success rates.

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21

Vujicic, Zoran, Ruben S. Luis, Jose Manuel Delgado Mendinueta, Ali Shahpari, Natasa B. Pavlovic, Benjamin J. Puttnam, Yukiyoshi Kamio, Moriya Nakamura, Naoya Wada, and Antonio Teixeira. "Self-Homodyne Detection-Based Fully Coherent Reflective PON Using RSOA and Simplified DSP." IEEE Photonics Technology Letters 27, no. 21 (November 1, 2015): 2226–29. http://dx.doi.org/10.1109/lpt.2015.2457778.

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22

Tselniker, Igor, Moshe Nazarathy, Shalva-Ben Ezra, Jingshi Li, and Juerg Leuthold. "Self-coherent complex field reconstruction with in-phase and quadrature delay detection without a direct-detection branch." Optics Express 20, no. 14 (June 25, 2012): 15452. http://dx.doi.org/10.1364/oe.20.015452.

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23

Martinez, P. "Fast-modulation imaging with the self-coherent camera." Astronomy & Astrophysics 629 (September 2019): L10. http://dx.doi.org/10.1051/0004-6361/201936496.

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Context. Direct detection of exoplanets requires imaging in a highly dynamic range and exquisite image quality and stability. Wavefront error (atmospheric errors, manufacturing errors on optics, cophasing residuals, temperature variations, etc.) will limit the efficiency of this endeavor by creating various flavors of speckles that evolve with different timescales. Active wavefront-error correction using a deformable mirror requires measuring the wavefront aberrations in the science image with high accuracy and in a shorter time than the duration of the dominant speckle lifetime. Aims. The self-coherent camera (SCC) is a focal plane wavefront sensor exploiting the coherence of light to generate Fizeau fringes in the image plane to spatially encode speckles. The SCC combines a coronagraph and a modified Lyot stop to which a reference channel is added. The conventional SCC is restricted to long-exposure measurements because the light transmitted through the reference channel is limited. The SCC can correct quasi-static aberrations but precludes short-lived atmospheric aberrations from the measurement. Methods. I propose an alternative to the conventional SCC that I call the fast-modulated SCC. It uses a simplified Lyot stop design and an adequate Fourier filtering algorithm. The theory is established and confirmed by means of numerical simulations. Results. The SCC theory dictates that the separation between the classical Lyot stop and the reference channel must be larger than 1.5 times the Lyot stop diameter. The fast-modulated SCC allows for the reference channel to be placed anywhere, in particular in the vicinity of the pupil where the maximum of diffracted light is found. This alternative represents a complete game changer for the sensor: full compatibility with any type of coronagraph, easy installation in existing instruments, and versatility by accessing short- and long-time exposure measurements. Conclusions. While the conventional SCC can almost not be implemented in existing instruments because the optical beam footprint in the instrument must be wide enough to illuminate the reference channel, which is often seen as a significant shortcoming, the fast-modulated SCC does not require any constraint on this. The fast-modulated SCC also relaxes the high sampling requirement to resolve the fringes, which is usually incompatible with the observation of fainter targets because the fringes are larger. The fast-modulated SCC simultaneously counteracts the two original shortcomings of the SCC concept.

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24

McKendrick, AM, A. Turpin, S. Webb, and DR Badcock. "Do Migraineurs have Difficulty Judging Direction of Simulated Heading?" Cephalalgia 26, no. 8 (August 2006): 949–59. http://dx.doi.org/10.1111/j.1468-2982.2006.01154.x.

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Some migraineurs have increased thresholds for the detection of global dot motion. We investigated whether migraineurs show consequential abnormalities in the determination of direction of self-motion (heading) from simulated optic flow. The ability to determine heading from optic flow is likely to be necessary for optimal determination of self-motion through the environment. Twenty-five migraineurs and 25 controls participated. Global dot motion coherence thresholds were assessed, in addition to performance on two simulated heading tasks: one with a symmetrical flow field, and the second with differing velocity of optic flow on the left and right sides of the participant. While some migraineurs demonstrated abnormal global motion coherence thresholds, there was no difference in performance on the heading tasks at either simulated walking (5 km/h) or driving (50 km/h) speeds. Increased global motion coherence thresholds in migraineurs do not result in abnormal judgements of heading from 100± coherent optic flow.

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25

Gabrielson, Thomas B., B. J. Merchant, Dominique Rodrigues, and Chad M. Smith. "Measurement of infrasound sensor self-noise." Journal of the Acoustical Society of America 152, no. 4 (October 2022): A164. http://dx.doi.org/10.1121/10.0015896.

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Self-noise is a critical performance characteristic of sensors intended for weak-signal detection and localization; however, the lower the self-noise, the more challenging the measurement. A recent international sensor-characterization exercise coordinated by the Provisional Technical Secretariat of the Comprehensive Nuclear-Test-Ban Treaty Organization included self-noise measurement of several infrasound sensors from 0.01 Hz to 10 Hz. Of three common methods for self-noise assessment—isolation of the sensor from external excitation, subtraction of common (coherent) components among several sensors, or de-activation of the sense mechanism—the first two were used in this exercise and the results highlight important measurement issues. In the infrasonic frequency range, isolation from external excitation is challenging. A sealed, thick-walled chamber attenuates ambient noise but heating from dissipation of power in the chamber interior can induce convection with large, low-frequency pressure fluctuations in the chamber. Capping the inlet(s) of a sensor creates a small, closed volume with strong coupling between temperature and pressure fluctuations. Subtraction of coherent components shared by co-located sensors can be effective in reducing the influence of ambient excitation; however, the process may be frustrated by errors in subtraction of large, nearly equal components or by unexpected electrical coupling.

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26

Geng, Yong, Wenwen Cui, Qing Wen, Boyang Wang, Qiang Zhou, Baojian Wu, and Heng Zhou. "Microcavity-based narrowband parametric amplifier for carrier recovery in optical coherent self-homodyne detection." Optics Letters 44, no. 14 (July 10, 2019): 3490. http://dx.doi.org/10.1364/ol.44.003490.

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27

Puttnam, Benjamin J., Jun Sakaguchi, José Manuel Delgado Mendinueta, Werner Klaus, Yoshinari Awaji, Naoya Wada, Atsushi Kanno, and Tetsuya Kawanishi. "Investigating self-homodyne coherent detection in a 19 channel space-division-multiplexed transmission link." Optics Express 21, no. 2 (January 15, 2013): 1561. http://dx.doi.org/10.1364/oe.21.001561.

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28

Arregui, Guillermo, Martín F. Colombano, Jeremie Maire, Alessandro Pitanti, Néstor E. Capuj, Amadeu Griol, Alejandro Martínez, Clivia M. Sotomayor-Torres, and Daniel Navarro-Urrios. "Injection locking in an optomechanical coherent phonon source." Nanophotonics 10, no. 4 (January 1, 2021): 1319–27. http://dx.doi.org/10.1515/nanoph-2020-0592.

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Abstract Spontaneous locking of the phase of a coherent phonon source to an external reference is demonstrated in a deeply sideband-unresolved optomechanical system. The high-amplitude mechanical oscillations are driven by the anharmonic modulation of the radiation pressure force that result from an absorption-mediated free-carrier/temperature limit cycle, i.e., self-pulsing. Synchronization is observed when the pump laser driving the mechanical oscillator to a self-sustained state is modulated by a radiofrequency tone. We employ a pump-probe phonon detection scheme based on an independent optical cavity to observe only the mechanical oscillator dynamics. The lock range of the oscillation frequency, i.e., the Arnold tongue, is experimentally determined over a range of external reference strengths, evidencing the possibility to tune the oscillator frequency for a range up to 350 kHz. The stability of the coherent phonon source is evaluated via its phase noise, with a maximum achieved suppression of 44 dBc/Hz at 1 kHz offset for a 100 MHz mechanical resonator. Introducing a weak modulation in the excitation laser reveals as a further knob to trigger, control and stabilize the dynamical solutions of self-pulsing based optomechanical oscillators, thus enhancing their potential as acoustic wave sources in a single-layer silicon platform.

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29

Shimizu, Kaoru, Tsuneo Horiguchi, Yahei Koyamada, and Toshio Kurashima. "Coherent self-heterodyne detection of spontaneously Brillouin-scattered light waves in a single-mode fiber." Optics Letters 18, no. 3 (February 1, 1993): 185. http://dx.doi.org/10.1364/ol.18.000185.

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30

Kiasaleh, K. "An all optical coherent receiver for self-homodyne detection of digitally phase modulated optical signals." IEEE Transactions on Communications 42, no. 2/3/4 (February 1994): 1496–500. http://dx.doi.org/10.1109/tcomm.1994.582829.

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31

Zhang, Jing, Heming Yang, Difu Zhao, and Kun Qiu. "Proposal of DCS-OFDM-PON upstream transmission with intensity modulator and collective self-coherent detection." Optical Fiber Technology 30 (July 2016): 12–16. http://dx.doi.org/10.1016/j.yofte.2016.01.009.

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32

Galicher, R., P. Baudoz, and G. Rousset. "Wavefront error correction and Earth-like planet detection by a self-coherent camera in space." Astronomy & Astrophysics 488, no. 1 (July 23, 2008): L9—L12. http://dx.doi.org/10.1051/0004-6361:200810356.

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33

Morales-Molina, L., and E. Arévalo. "One-BEC-species coherent oscillations with frequency controlled by a second species atom number." New Journal of Physics 24, no. 1 (January 1, 2022): 013023. http://dx.doi.org/10.1088/1367-2630/ac40ce.

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Abstract Controlling the tunneling of atoms of one species using a different atom species is a fundamental step in the development of a new class of atom quantum devices, where detection, motion control, and other functions over the atoms, can be achieved by exploiting the interaction between two different atomic species. Here, we theoretically study coherent oscillations of a non-self-interacting Bose–Einstein condensate (BEC) species in a triple-well potential controlled by a self-interacting species self-trapped in the central well of the potential. In this system, a blockade, due to the interspecies interaction, prevents atoms of the non-self-interacting species from populating the central well. Thus, for an initial population imbalance between the left- and right-hand wells of the non-self-interacting species, coherent BEC oscillations are induced between these two wells, resembling those of Rabi-like BEC oscillations in a double-well potential. The oscillation period is found to scale linearly with the number of self-trapped atoms as well as with the interspecies interaction strength. This behavior is corroborated by the quantum many-particle and the mean-field models of the system. We show that BEC oscillations can be described by using an effective bosonic Josephson junction with a tunneling amplitude that depends on the number of the self-trapped atoms in the central well. We also consider the effect of the self-trapped atom losses on the coherent oscillations. We show, by using quantum trajectories, that this type of losses leads to a dynamical change in the oscillation period of the non-self-interacting species, which in turn allows the number of self-trapped atoms lost from the system to be estimated.

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34

Chaudhary, Sushank, Lunchakorn Wuttisittikulkij, Muhammad Saadi, Abhishek Sharma, Sattam Al Otaibi, Jamel Nebhen, Demostenes Zegarra Rodriguez, et al. "Coherent detection-based photonic radar for autonomous vehicles under diverse weather conditions." PLOS ONE 16, no. 11 (November 15, 2021): e0259438. http://dx.doi.org/10.1371/journal.pone.0259438.

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Autonomous vehicles are regarded as future transport mechanisms that drive the vehicles without the need of drivers. The photonic-based radar technology is a promising candidate for delivering attractive applications to autonomous vehicles such as self-parking assistance, navigation, recognition of traffic environment, etc. Alternatively, microwave radars are not able to meet the demand of next-generation autonomous vehicles due to its limited bandwidth availability. Moreover, the performance of microwave radars is limited by atmospheric fluctuation which causes severe attenuation at higher frequencies. In this work, we have developed coherent-based frequency-modulated photonic radar to detect target locations with longer distance. Furthermore, the performance of the proposed photonic radar is investigated under the impact of various atmospheric weather conditions, particularly fog and rain. The reported results show the achievement of significant signal to noise ratio (SNR) and received power of reflected echoes from the target for the proposed photonic radar under the influence of bad weather conditions. Moreover, a conventional radar is designed to establish the effectiveness of the proposed photonic radar by considering similar parameters such as frequency and sweep time.

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35

Golani, Ori, Luca Mauri, Fabiano Pasinato, Cristian Cattaneo, Guido Consonnni, Stefano Balsamo, and Dan M. Marom. "A photonic analog-to-digital converter using phase modulation and self-coherent detection with spatial oversampling." Optics Express 22, no. 10 (May 13, 2014): 12273. http://dx.doi.org/10.1364/oe.22.012273.

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36

Xiong, Chunxiao, Ming Tang, Changjian Ke, Zhenhua Feng, Qiong Wu, Liang Xu, Songnian Fu, Weijun Tong, Perry Ping Shum, and Deming Liu. "Experimental Demonstration of Ultra-Dense WDM-PON With Seven-Core MCF-Enabled Self-Homodyne Coherent Detection." IEEE Photonics Journal 9, no. 2 (April 2017): 1–7. http://dx.doi.org/10.1109/jphot.2017.2677503.

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37

Mun, Kyoung-Hak, Sang-Min Jung, and Sang-Kook Han. "Self-homodyne detection technique using extracted local oscillator light by GS-SOA in optical coherent transmission." Microwave and Optical Technology Letters 58, no. 3 (January 27, 2016): 561–65. http://dx.doi.org/10.1002/mop.29611.

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38

Lei, Cheng-Wei, Li Zhang, Tsung-Ming Tai, Chen-Chieh Tsai, Wen-Jyi Hwang, and Yun-Jie Jhang. "Automated Surface Defect Inspection Based on Autoencoders and Fully Convolutional Neural Networks." Applied Sciences 11, no. 17 (August 25, 2021): 7838. http://dx.doi.org/10.3390/app11177838.

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This study aims to develop a novel automated computer vision algorithm for quality inspection of surfaces with complex patterns. The proposed algorithm is based on both an autoencoder (AE) and a fully convolutional neural network (FCN). The AE is adopted for the self-generation of templates from test targets for defect detection. Because the templates are produced from the test targets, the position alignment issues for the matching operations between templates and test targets can be alleviated. The FCN is employed for the segmentation of a template into a number of coherent regions. Because the AE has the limitation that its capacities for the regeneration of each coherent region in the template may be different, the segmentation of the template by FCN is beneficial for allowing the inspection of each region to be independently carried out. In this way, more accurate detection results can be achieved. Experimental results reveal that the proposed algorithm has the advantages of simplicity for training data collection, high accuracy for defect detection, and high flexibility for online inspection. The proposed algorithm is therefore an effective alternative for the automated inspection in smart factories with a growing demand for the reliability for high quality production.

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Chen, Yuanxiang, Juhao Li, Peng Zhou, Paikun Zhu, Yu Tian, Zhongying Wu, Jinglong Zhu, et al. "MDM-TDM PON Utilizing Self-Coherent Detection-Based OLT and RSOA-Based ONU for High Power Budget." IEEE Photonics Journal 8, no. 3 (June 2016): 1–7. http://dx.doi.org/10.1109/jphot.2016.2557623.

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40

Vaiana, Michael, Ethan M. Goldberg, and Sarah F. Muldoon. "Optimizing state change detection in functional temporal networks through dynamic community detection." Journal of Complex Networks 7, no. 4 (December 3, 2018): 529–53. http://dx.doi.org/10.1093/comnet/cny030.

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Abstract Dynamic community detection provides a coherent description of network clusters over time, allowing one to track the growth and death of communities as the network evolves. However, modularity maximization, a popular method for performing multilayer community detection, requires the specification of an appropriate null network as well as resolution and interlayer coupling parameters. Importantly, the ability of the algorithm to accurately detect community evolution is dependent on the choice of these parameters. In functional temporal networks, where evolving communities reflect changing functional relationships between network nodes, it is especially important that the detected communities reflect any state changes of the system. Here, we present analytical work suggesting that a uniform null network provides improved sensitivity to the detection of small evolving communities in temporal networks with positive edge weights bounded above by 1, such as certain types of correlation networks. We then propose a method for increasing the sensitivity of modularity maximization to state changes in nodal dynamics by modelling self-identity links between layers based on the self-similarity of the network nodes between layers. This method is more appropriate for functional temporal networks from both a modelling and mathematical perspective, as it incorporates the dynamic nature of network nodes. We motivate our method based on applications in neuroscience where network nodes represent neurons and functional edges represent similarity of firing patterns in time. We show that in simulated data sets of neuronal spike trains, updating interlayer links based on the firing properties of the neurons provides superior community detection of evolving network structure when groups of neurons change their firing properties over time. Finally, we apply our method to experimental calcium imaging data that monitors the spiking activity of hundreds of neurons to track the evolution of neuronal communities during a state change from the awake to anaesthetized state.

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Bae, Yi Ji, Midan Shim, and Won Hee Lee. "Schizophrenia Detection Using Machine Learning Approach from Social Media Content." Sensors 21, no. 17 (September 3, 2021): 5924. http://dx.doi.org/10.3390/s21175924.

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Schizophrenia is a severe mental disorder that ranks among the leading causes of disability worldwide. However, many cases of schizophrenia remain untreated due to failure to diagnose, self-denial, and social stigma. With the advent of social media, individuals suffering from schizophrenia share their mental health problems and seek support and treatment options. Machine learning approaches are increasingly used for detecting schizophrenia from social media posts. This study aims to determine whether machine learning could be effectively used to detect signs of schizophrenia in social media users by analyzing their social media texts. To this end, we collected posts from the social media platform Reddit focusing on schizophrenia, along with non-mental health related posts (fitness, jokes, meditation, parenting, relationships, and teaching) for the control group. We extracted linguistic features and content topics from the posts. Using supervised machine learning, we classified posts belonging to schizophrenia and interpreted important features to identify linguistic markers of schizophrenia. We applied unsupervised clustering to the features to uncover a coherent semantic representation of words in schizophrenia. We identified significant differences in linguistic features and topics including increased use of third person plural pronouns and negative emotion words and symptom-related topics. We distinguished schizophrenic from control posts with an accuracy of 96%. Finally, we found that coherent semantic groups of words were the key to detecting schizophrenia. Our findings suggest that machine learning approaches could help us understand the linguistic characteristics of schizophrenia and identify schizophrenia or otherwise at-risk individuals using social media texts.

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Kumareshan, N., A. Umashankar, Manoj Verma, Subramaniam Gnanasaravanan, G. Kumaran, S. Vimalnath, N. Arun Vignesh, and A. Johnson Santhosh. "Truncation Multiplier-Based Cognitive Radio Spectrum Analyzer for Nanomedical Applications." Journal of Nanomaterials 2022 (September 1, 2022): 1–7. http://dx.doi.org/10.1155/2022/4766366.

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The electromagnetic spectrum is one of nature’s meagre resources. The requirements of wireless communication cannot be satisfied by the new spectrum allocation plan. A policy of self-driven spectrum allocation results as a result. Cognitive radio (CR) engineering is a brilliant technique to maximise spectrum utilisation in rapidly changing environments by identifying unusable and underutilised bandwidth. One of the information strategies of intellectual radio is range detecting, which uses self-persuaded range allocation techniques to use open range to determine the existence of critical clients in the approved recurrence band. Energy location and cyclostationary highlight recognition are the two main factors that determine range detection. Energy recognition is a key method of range detection, but it becomes discouraging at low signal to noise ratios. With a cost of the highest degree of execution complexity, the critical cyclostationary highlight recognition based on cyclic range assessment may successfully identify weak signs from crucial clients. This project is aimed at implementing a useful range detecting mechanism in a field programmable door show with meticulous precision for CR. The adaptive absolute-self-coherent-restoral algorithm, specifically using the truncation multiplier, is a new spectrum sensing system. The proposed architecture, which makes use of a truncation multiplier, was created using the Xilinx approach. This study suggests an efficient spectrum sensing technique that makes use of the Adaptive Absolute Score (AAS) algorithm and SQRT-based Carry Select Adder (CSLA). The TM-CSLA design includes 228 LUT for the Spartan 6 device, which is fewer than the other architectures.

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Xiang, Chao, Junqiu Liu, Joel Guo, Lin Chang, Rui Ning Wang, Wenle Weng, Jonathan Peters, et al. "Laser soliton microcombs heterogeneously integrated on silicon." Science 373, no. 6550 (July 1, 2021): 99–103. http://dx.doi.org/10.1126/science.abh2076.

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Silicon photonics enables wafer-scale integration of optical functionalities on chip. Silicon-based laser frequency combs can provide integrated sources of mutually coherent laser lines for terabit-per-second transceivers, parallel coherent light detection and ranging, or photonics-assisted signal processing. We report heterogeneously integrated laser soliton microcombs combining both indium phospide/silicon (InP/Si) semiconductor lasers and ultralow-loss silicon nitride (Si3N4) microresonators on a monolithic silicon substrate. Thousands of devices can be produced from a single wafer by using complementary metal-oxide-semiconductor–compatible techniques. With on-chip electrical control of the laser-microresonator relative optical phase, these devices can output single-soliton microcombs with a 100-gigahertz repetition rate. Furthermore, we observe laser frequency noise reduction due to self-injection locking of the InP/Si laser to the Si3N4 microresonator. Our approach provides a route for large-volume, low-cost manufacturing of narrow-linewidth, chip-based frequency combs for next-generation high-capacity transceivers, data centers, space and mobile platforms.

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Herscovici-Schiller, O., L. M. Mugnier, P. Baudoz, R. Galicher, J. F. Sauvage, and B. Paul. "Experimental validation of joint phase and amplitude wave-front sensing with coronagraphic phase diversity for high-contrast imaging." Astronomy & Astrophysics 614 (June 2018): A142. http://dx.doi.org/10.1051/0004-6361/201732439.

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Context. The next generation of space-borne instruments dedicated to the direct detection of exoplanets requires unprecedented levels of wavefront control precision. Coronagraphic wavefront sensing techniques for these instruments must measure both the phase and amplitude of the optical aberrations using the scientific camera as a wavefront sensor. Aims. In this paper, we develop an extension of coronagraphic phase diversity to the estimation of the complex electric field, that is, the joint estimation of phase and amplitude. Methods. We introduced the formalism for complex coronagraphic phase diversity. We have demonstrated experimentally on the Très Haute Dynamique testbed at the Observatoire de Paris that it is possible to reconstruct phase and amplitude aberrations with a subnanometric precision using coronagraphic phase diversity. Finally, we have performed the first comparison between the complex wavefront estimated using coronagraphic phase diversity (which relies on time-modulation of the speckle pattern) and the one reconstructed by the self-coherent camera (which relies on the spatial modulation of the speckle pattern). Results. We demonstrate that coronagraphic phase diversity retrieves complex wavefront with subnanometric precision with a good agreement with the reconstruction performed using the self-coherent camera. Conclusions. This result paves the way to coronagraphic phase diversity as a coronagraphic wave-front sensor candidate for very high contrast space missions.

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Xu, Changhao, Yu Zhang, Qianchi Feng, Rongda Liang, and Chuanshan Tian. "Self-Suppression of the Giant Coherent Anti-Stokes Raman Scattering Background for Detection of Buried Interfaces with Submonolayer Sensitivity." Journal of Physical Chemistry Letters 13, no. 6 (February 7, 2022): 1465–72. http://dx.doi.org/10.1021/acs.jpclett.2c00055.

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Zhang, Runzhou, Nanzhe Hu, Huibin Zhou, Kaiheng Zou, Xinzhou Su, Yiyu Zhou, Haoqian Song, et al. "Turbulence-resilient pilot-assisted self-coherent free-space optical communications using automatic optoelectronic mixing of many modes." Nature Photonics 15, no. 10 (September 28, 2021): 743–50. http://dx.doi.org/10.1038/s41566-021-00877-w.

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AbstractIn free-space optical communications that use both amplitude and phase data modulation (for example, in quadrature amplitude modulation (QAM)), the data are typically recovered by mixing a Gaussian local oscillator with a received Gaussian data beam. However, atmospheric turbulence can induce power coupling from the transmitted Gaussian mode to higher-order modes, resulting in a significantly degraded mixing efficiency and system performance. Here, we use a pilot-assisted self-coherent detection approach to overcome this problem. Specifically, we transmit both a Gaussian data beam and a frequency-offset Gaussian pilot tone beam such that both beams experience similar turbulence and modal coupling. Subsequently, a photodetector mixes all corresponding pairs of the beams’ modes. During mixing, a conjugate of the turbulence-induced modal coupling is generated and compensates the modal coupling experienced by the data, and thus the corresponding modes of the pilot and data mix efficiently. We demonstrate a 12 Gbit s−1 16-QAM polarization-multiplexed free-space optical link that is resistant to turbulence.

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Gao, Wenning, Fuzhan Yue, Zhenghuan Xia, Xin Liu, Chuang Zhang, Zongqiang Liu, Shichao Jin, et al. "Weak Signal Processing Method for Moving Target of GNSS-S Radar Based on Amplitude and Phase Self-Correction." Remote Sensing 15, no. 4 (February 9, 2023): 969. http://dx.doi.org/10.3390/rs15040969.

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Navigation satellite signals have the advantages of all-day, all-weather, and global coverage, and the use of navigation signals for the detection of moving targets has significant application prospects. However, the GNSS signal is very weak, and the signal power is greatly attenuated after being scattered by the target. In order to detect the echo signal, a long integration time is required. However, the movement of the target will cause the echo signal to produce unpredictable range migration and a Doppler frequency shift, which will weaken the cumulative effect of long-term integration. This paper proposes a weak signal processing method with amplitude and phase self-correction for moving target detection in the GNSS-S radar. First, the phase consistency of the echoes of a single GNSS satellite is realized by the block expansion compression and phase differential correction method to improve the coherent accumulation gain; then, multi-star joint accumulation is carried out after the signal amplitudes of multiple satellites are corrected by the improved keystone method, so as to obtain a stable echo signal track. This method can effectively improve the integral gain of the scattering signal of the moving target and realize target detection. The simulation results and field tests show that this method can effectively improve the SNR of the GNSS-S signal and can realize the detection of small moving targets such as cars with GNSS-S radar.

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Sun, Zengguo, Guodong Zhao, Marcin Woźniak, Rafał Scherer, and Robertas Damaševičius. "Bankline detection of GF-3 SAR images based on shearlet." PeerJ Computer Science 7 (December 22, 2021): e611. http://dx.doi.org/10.7717/peerj-cs.611.

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The GF-3 satellite is China’s first self-developed active imaging C-band multi-polarization synthetic aperture radar (SAR) satellite with complete intellectual property rights, which is widely used in various fields. Among them, the detection and recognition of banklines of GF-3 SAR image has very important application value for map matching, ship navigation, water environment monitoring and other fields. However, due to the coherent imaging mechanism, the GF-3 SAR image has obvious speckle, which affects the interpretation of the image seriously. Based on the excellent multi-scale, directionality and the optimal sparsity of the shearlet, a bankline detection algorithm based on shearlet is proposed. Firstly, we use non-local means filter to preprocess GF-3 SAR image, so as to reduce the interference of speckle on bankline detection. Secondly, shearlet is used to detect the bankline of the image. Finally, morphological processing is used to refine the bankline and further eliminate the false bankline caused by the speckle, so as to obtain the ideal bankline detection results. Experimental results show that the proposed method can effectively overcome the interference of speckle, and can detect the bankline information of GF-3 SAR image completely and smoothly.

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Galicher, R., P. Baudoz, J. R. Delorme, D. Mawet, M. Bottom, J. K. Wallace, E. Serabyn, and C. Shelton. "Minimization of non-common path aberrations at the Palomar telescope using a self-coherent camera." Astronomy & Astrophysics 631 (November 2019): A143. http://dx.doi.org/10.1051/0004-6361/201936282.

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Context. The two main advantages of exoplanet imaging are the discovery of objects in the outer part of stellar systems, which constrains the models of planet formation, and its ability to spectrally characterize the planets to study their atmospheres. It is, however, challenging because exoplanets are up to 1010 times fainter than their stars and are separated by a fraction of an arcsecond. Current instruments like SPHERE-VLT or GPI-Gemini detect young and massive planets only because of non-common path aberrations (NCPA) that are not corrected by the adaptive optics system. To probe fainter exoplanets a new instruments capable of minimizing the NCPA is needed. One solution is the self-coherent camera (SCC) focal plane wavefront sensor which is able to attenuate the starlight by factors of up to several 108 in the laboratory in space-like conditions. Aims. In this paper, we demonstrate the SCC on the sky for the first time. Methods. We installed an SCC on the stellar double coronagraph instrument at the Hale telescope. We minimize the NCPA that limited the vortex coronagraph performance. We then compared this procedure to the standard procedure used at Palomar. Results. On internal sources, we demonstrated that the SCC improves the coronagraphic detection limit by a factor of 4–20 between 1.5 and 5 λ/D. Using this SCC calibration, the on-sky contrast is improved by a factor of 5 between 2 and 4 λ/D. These results prove the ability of the SCC to be implemented in an existing instrument. Conclusions. This paper highlights two interests of the self-coherent camera. First, the SCC can minimize the speckle intensity in the field of view, especially the ones that are very close to the star where many exoplanets are to be discovered. Then the SCC has a 100% efficiency with science time as each image can be used for both science and NCPA minimization.

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OSAWA, Noboru, Shinsuke IBI, Koji IGARASHI, and Seiichi SAMPEI. "EXIT Chart-Aided Design of LDPC Codes for Self-Coherent Detection with Turbo Equalizer for Optical Fiber Short-Reach Transmissions." IEICE Transactions on Communications E102.B, no. 7 (July 1, 2019): 1301–12. http://dx.doi.org/10.1587/transcom.2018ebp3267.

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