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Journal articles on the topic 'Optical complexity'

Author: Grafiati

Published: 4 June 2021

Last updated: 13 February 2022

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1

Bishop, AlanR, and DavidD Awschalom. "Optical and magnetic materials unraveling complexity." Current Opinion in Solid State and Materials Science 3, no. 2 (April 1998): 169–70. http://dx.doi.org/10.1016/s1359-0286(98)80083-1.

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2

Louri, Ahmed, and Arthur Post. "Complexity analysis of optical-computing paradigms." Applied Optics 31, no. 26 (September 10, 1992): 5568. http://dx.doi.org/10.1364/ao.31.005568.

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3

Caulfield, H. J. "Space-time complexity in optical computing." Multidimensional Systems and Signal Processing 2, no. 4 (November 1991): 373–78. http://dx.doi.org/10.1007/bf01937172.

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4

Angelsky, O. V., P. P. Maksimyak, and T. O. Perun. "Optical correlation method for measuring spatial complexity in optical fields." Optics Letters 18, no. 2 (January 15, 1993): 90. http://dx.doi.org/10.1364/ol.18.000090.

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5

Wang Huiqin, 王惠琴, 肖博 Xiao Bo, 贾非 Jia Fei, 曹明华 Cao Minghua, and 孙剑锋 Sun Jianfeng. "Low-Complexity Optical Space-Time Trellis Code." Acta Optica Sinica 36, no. 8 (2016): 0806008. http://dx.doi.org/10.3788/aos201636.0806008.

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6

Rondoni, Lamberto, M. R. K. Ariffin, Renuganth Varatharajoo, Sayan Mukherjee, Sanjay K. Palit, and Santo Banerjee. "Optical complexity in external cavity semiconductor laser." Optics Communications 387 (March 2017): 257–66. http://dx.doi.org/10.1016/j.optcom.2016.11.011.

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7

Yao, Eric, Francesco Papoff, and Gian-Luca Oppo. "Characterisation of spatio-temporal complexity in optical experiments." Optics Communications 155, no. 1-3 (October 1998): 73–78. http://dx.doi.org/10.1016/s0030-4018(98)00369-1.

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8

Borneman, Joshua D., Evie Malaia, and Ronnie B. Wilbur. "Motion characterization using optical flow and fractal complexity." Journal of Electronic Imaging 27, no. 05 (July 11, 2018): 1. http://dx.doi.org/10.1117/1.jei.27.5.051229.

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9

Knight, P. L. "Nonlinear Dynamics and Spatial Complexity in Optical Systems." Journal of Modern Optics 42, no. 1 (January 1995): 255. http://dx.doi.org/10.1080/09500349514550241.

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10

Maggio, Gabriel N., Mario R. Hueda, and Oscar E. Agazzi. "Reduced Complexity MLSD Receivers for Nonlinear Optical Channels." IEEE Photonics Technology Letters 26, no. 4 (February 2014): 398–401. http://dx.doi.org/10.1109/lpt.2013.2295200.

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11

Hunter, D. K., and D. G. Smith. "Optical TDM switching architectures with reduced control complexity." IEE Proceedings I Communications, Speech and Vision 140, no. 3 (1993): 220. http://dx.doi.org/10.1049/ip-i-2.1993.0033.

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12

Andrews, Matthew, and Lisa Zhang. "Complexity of Wavelength Assignment in Optical Network Optimization." IEEE/ACM Transactions on Networking 17, no. 2 (April 2009): 646–57. http://dx.doi.org/10.1109/tnet.2009.2014226.

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13

Hu, Wei-Wen. "Low Complexity Transmitter Architecture for Optical OFDM Systems." IEEE Communications Letters 25, no. 8 (August 2021): 2649–53. http://dx.doi.org/10.1109/lcomm.2021.3063742.

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14

Li, Baolong, Simeng Feng, Wei Xu, and Zhengquan Li. "Interference-Free Hybrid Optical OFDM With Low-Complexity Receiver for Wireless Optical Communications." IEEE Communications Letters 23, no. 5 (May 2019): 818–21. http://dx.doi.org/10.1109/lcomm.2019.2907953.

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15

Li Huang, G. Mathew, and Tow Chong Chong. "Reduced complexity Viterbi detection for two-dimensional optical recording." IEEE Transactions on Consumer Electronics 51, no. 1 (February 2005): 123–29. http://dx.doi.org/10.1109/tce.2005.1405709.

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16

Chin, Seungbeom, and Joonsuk Huh. "Majorization and the time complexity of linear optical networks." Journal of Physics A: Mathematical and Theoretical 52, no. 24 (May 17, 2019): 245301. http://dx.doi.org/10.1088/1751-8121/ab1cc7.

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17

Arecchi, F. T. "Chaos, complexity and morphogenesis: Optical-pattern formation and recognition." Il Nuovo Cimento D 16, no. 8 (August 1994): 1065–89. http://dx.doi.org/10.1007/bf02458788.

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18

Mouronte, M. L., R. M. Benito, J. P. Cárdenas, A. Santiago, V. Feliú, P. van Wijngaarden, and L. G. Moyano. "Complexity in Spanish optical fiber and SDH transport networks." Computer Physics Communications 180, no. 4 (April 2009): 523–26. http://dx.doi.org/10.1016/j.cpc.2009.01.001.

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19

Wei, Jinlong, Cedric Lam, Ji Zhou, Ivan Aldaya, Elias Giacoumidis, Andre Richter, Qixiang Cheng, Richard Penty, and Ian White. "Low Complexity DSP for High Speed Optical Access Networking." Applied Sciences 11, no. 8 (April 10, 2021): 3406. http://dx.doi.org/10.3390/app11083406.

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A novel low-cost and energy-efficient approach for reaching 40 Gb/s signals is proposed for cost-sensitive optical access networks. Our proposed design is constituted of an innovative low-complex high-performance digital signal processing (DSP) architecture for pulse amplitude modulation (PAM-4), reuses existing commercial cost-effective 10-G components and eliminates the need of a power-hungry radio frequency (RF) component in the transmitter. Using a multi-functional 17-tap reconfigurable adaptive Volterra-based nonlinear equalizer with noise suppression, significant improvement in receiver optical power sensitivity is achieved. Results show that over 30 km of single-mode fiber (SMF) a link power budget of 33 dB is feasible at a bit-error-rate (BER) threshold of 10−3.

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20

Berthomé, Pascal, and Afonso Ferreira. "Communication Issues in Parallel Systems with Optical Interconnections." International Journal of Foundations of Computer Science 08, no. 02 (June 1997): 143–62. http://dx.doi.org/10.1142/s0129054197000124.

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In classical massively parallel computers, the complexity of the interconnection networks is much higher than the complexity of the processing elements themselves. However, emerging optical technologies may provide a way to reconsider very large parallel architectures where processors would communicate by optical means. In this paper, we compare some optically interconnected parallel multicomputer models with regard to their communication capabilities. We first establish a distinction of such systems, based on the independence of the communication elements embedded in the processors (transmitters and receivers). Then, motivated by the fact that in multicomputers some communication operations have to be very efficiently performed, we study communication problems, namely, broadcast and multi-broadcast, under the hypothesis of bounded fanout. Our results take also into account a bounded number of available wavelengths.

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21

Lei Yang, 杨磊, 潘炜 Wei Pan, 罗斌 Bin Luo, 项水英 ShuiYing Xiang, and 江宁 Ning Jiang. "Dynamic behavior and complexity of modulated optical micro ring resonator." Chinese Optics Letters 9, no. 6 (2011): 061402–61405. http://dx.doi.org/10.3788/col201109.061402.

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22

Wu, Liang, Julian Cheng, Zaichen Zhang, Jian Dang, and Huaping Liu. "Low-Complexity Spatial Modulation for IM/DD Optical Wireless Communications." IEEE Photonics Technology Letters 31, no. 6 (March 15, 2019): 475–78. http://dx.doi.org/10.1109/lpt.2019.2899394.

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23

Patel, Romil K., Isiaka A. Alimi, Nelson J. Muga, and Armando N. Pinto. "Optical Signal Phase Retrieval With Low Complexity DC-Value Method." Journal of Lightwave Technology 38, no. 16 (August 15, 2020): 4205–12. http://dx.doi.org/10.1109/jlt.2020.2986392.

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24

Skurowski, Przemysław, and Magdalena Pawlyta. "On the Noise Complexity in an Optical Motion Capture Facility." Sensors 19, no. 20 (October 13, 2019): 4435. http://dx.doi.org/10.3390/s19204435.

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Optical motion capture systems are state-of-the-art in motion acquisition; however, like any measurement system they are not error-free: noise is their intrinsic feature. The works so far mostly employ a simple noise model, expressing the uncertainty as a simple variance. In the work, we demonstrate that it might be not sufficient and we prove the existence of several types of noise and demonstrate how to quantify them using Allan variance. Such a knowledge is especially important for using optical motion capture to calibrate other techniques, and for applications requiring very fine quality of recording. For the automated readout of the noise coefficients, we solve the multidimensional regression problem using sophisticated metaheuristics in the exploration-exploitation scheme. We identified in the laboratory the notable contribution to the overall noise from white noise and random walk, and a minor contribution from blue noise and flicker, whereas the violet noise is absent. Besides classic types of noise we identified the presence of the correlated noises and periodic distortion. We analyzed also how the noise types scale with an increasing number of cameras. We had also the opportunity to observe the influence of camera failure on the overall performance.

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25

Napoli, Antonio, Zied Maalej, Vincent A. J. M. Sleiffer, Maxim Kuschnerov, Danish Rafique, Erik Timmers, Bernhard Spinnler, Talha Rahman, Leonardo Didier Coelho, and Norbert Hanik. "Reduced Complexity Digital Back-Propagation Methods for Optical Communication Systems." Journal of Lightwave Technology 32, no. 7 (April 2014): 1351–62. http://dx.doi.org/10.1109/jlt.2014.2301492.

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26

Mirshafiei, Mehrdad, and Leslie A. Rusch. "Low-Complexity Optical Distribution of Gb/s BPSK UWB Signals." IEEE Photonics Technology Letters 24, no. 10 (May 2012): 803–5. http://dx.doi.org/10.1109/lpt.2012.2188502.

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27

Presi, Marco, Massimo Artiglia, and Ernesto Ciaramella. "Electrical filter-based and low-complexity DPSK coherent optical receiver." Optics Letters 39, no. 21 (October 28, 2014): 6301. http://dx.doi.org/10.1364/ol.39.006301.

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28

Kim, N., and H. Park. "Low-complexity iterative equalisation and decoding for wireless optical communications." IET Communications 2, no. 1 (2008): 61. http://dx.doi.org/10.1049/iet-com:20060388.

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29

Leonetti, M., E. Hörmann, L. Leuzzi, G. Parisi, and G. Ruocco. "Optical computation of a spin glass dynamics with tunable complexity." Proceedings of the National Academy of Sciences 118, no. 21 (May 21, 2021): e2015207118. http://dx.doi.org/10.1073/pnas.2015207118.

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Spin glasses (SGs) are paradigmatic models for physical, computer science, biological, and social systems. The problem of studying the dynamics for SG models is nondetermistic polynomial-time (NP) hard; that is, no algorithm solves it in polynomial time. Here we implement the optical simulation of an SG, exploiting the N segments of a wavefront-shaping device to play the role of the spin variables, combining the interference downstream of a scattering material to implement the random couplings between the spins (the Jij matrix) and measuring the light intensity on a number P of targets to retrieve the energy of the system. By implementing a plain Metropolis algorithm, we are able to simulate the spin model dynamics, while the degree of complexity of the potential energy landscape and the region of phase diagram explored are user defined, acting on the ratio P/N=α. We study experimentally, numerically, and analytically this Hopfield-like system displaying a paramagnetic, ferromagnetic, and SG phase, and we demonstrate that the transition temperature Tg to the glassy phase from the paramagnetic phase grows with α. We demonstrate the computational advantage of the optical SG where interaction terms are realized simultaneously when the independent light rays interfere on the detector’s surface. This inherently parallel measurement of the energy provides a speedup with respect to purely in silico simulations scaling with N.

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30

CAI, ZHIJIE, ENHUA SHEN, FANJI GU, ZHENGJIE XU, JIONG RUAN, and YANG CAO. "A NEW TWO-DIMENSIONAL COMPLEXITY MEASURE." International Journal of Bifurcation and Chaos 16, no. 11 (November 2006): 3235–47. http://dx.doi.org/10.1142/s0218127406016756.

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In this paper, a new two-dimensional complexity measure, 2D C0 complexity, which is shown to be a reasonable measure under the meaning of randomness finding complexity, is presented and its mathematical properties are proved. This complexity measure is robust for short data and it is calculated easily. An application to characterize the optical imaging orientation functional map in cat visual cortex is also shown.

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31

Zhang, Wenjia, Ling Ge, Yanci Zhang, Chenyu Liang, and Zuyuan He. "Compressed Nonlinear Equalizers for 112-Gbps Optical Interconnects: Efficiency and Stability." Sensors 20, no. 17 (August 19, 2020): 4680. http://dx.doi.org/10.3390/s20174680.

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Low-complexity nonlinear equalization is critical for reliable high-speed short-reach optical interconnects. In this paper, we compare the complexity, efficiency and stability performance of pruned Volterra series-based equalization (VE) and neural network-based equalization (NNE) for 112 Gbps vertical cavity surface emitting laser (VCSEL) enabled optical interconnects. The design space of nonlinear equalizers and their pruning algorithms are carefully investigated to reveal fundamental reasons of powerful nonlinear compensation capability and restriction factors of efficiency and stability. The experimental results show that NNE has more than one order of magnitude bit error rate (BER) advantage over VE at the same computation complexity and pruned NNE has around 50% lower computation complexity compared to VE at the same BER level. Moreover, VE shows serious performance instability due to its intricate structure when communication channel conditions become tough. Moreover, pruned VE presents more consistent equalization performance within varying bias values than NNE.

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32

KANNO, Kazutaka, and Atsushi UCHIDA. "Complexity Analysis in A Semiconductor Laser with Time-Delayed Optical Feedback." Review of Laser Engineering 39, no. 7 (2011): 543–49. http://dx.doi.org/10.2184/lsj.39.543.

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33

Ciaramella, E. "Introducing wavelength granularity to reduce the complexity of optical cross connects." IEEE Photonics Technology Letters 12, no. 6 (June 2000): 699–701. http://dx.doi.org/10.1109/68.849089.

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34

Xiao, Zhuopeng, Qunbi Zhuge, Songnian Fu, Fangyuan Zhang, Meng Qiu, Ming Tang, Deming Liu, and David V. Plant. "Low complexity split digital backpropagation for digital subcarrier-multiplexing optical transmissions." Optics Express 25, no. 22 (October 26, 2017): 27824. http://dx.doi.org/10.1364/oe.25.027824.

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35

Cao, Yang, Zhijie Cai, Enhua Shen, Wei Shen, Xin Chen, Fanji Gu, and Tiande Shou. "Quantitative analysis of brain optical images with 2D C0 complexity measure." Journal of Neuroscience Methods 159, no. 1 (January 2007): 181–86. http://dx.doi.org/10.1016/j.jneumeth.2006.06.023.

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36

Hager, Christian, Lotfollah Beygi, Erik Agrell, Pontus Johannisson, Magnus Karlsson, and Alexandre Graell i Amat. "A Low-Complexity Detector for Memoryless Polarization-Multiplexed Fiber-Optical Channels." IEEE Communications Letters 18, no. 2 (February 2014): 368–71. http://dx.doi.org/10.1109/lcomm.2013.122713.132200.

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37

Eramo, Vincenzo, Angelo Germoni, Antonio Cianfrani, Marco Listanti, and Carla Raffaelli. "Evaluation of Power Consumption in Low Spatial Complexity Optical Switching Fabrics." IEEE Journal of Selected Topics in Quantum Electronics 17, no. 2 (March 2011): 396–405. http://dx.doi.org/10.1109/jstqe.2010.2053350.

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38

Hanho Lee. "A high-speed low-complexity Reed-Solomon decoder for optical communications." IEEE Transactions on Circuits and Systems II: Express Briefs 52, no. 8 (August 2005): 461–65. http://dx.doi.org/10.1109/tcsii.2005.850452.

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39

HAN, MIN, YANCHUN GONG, JIANXIN MA, FENGQI LIU, and GUANGHOU WANG. "THE COMPLEXITY OF THE GROWTH AND OPTICAL PROPERTIES OF GERMANIUM NANOCLUSTERS." Surface Review and Letters 03, no. 01 (February 1996): 91–95. http://dx.doi.org/10.1142/s0218625x96000206.

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Germanium nanoclusters are prepared by means of the inert-gas condensation method. The growth, coalescence, and aggregation processes are investigated by means of TEM. It is found that the clusters can be either nanocrystals or amorphous-like. Furthermore, during the deposition, they can either randomly land on surface, keep isolated and finally form a cluster-assembled uniform film or aggregate with fractal structures and then form porous film, depending on their preparation condition. Spectropho-tometric measurements are recorded for these samples at room temperature in the ultraviolet, visible, and near-IR region, and show obvious blueshift of the band gap as large as 1.0–2.0 eV in comparison with those for the bulk specimens, which may be related to the quantum-confinement effect.

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40

Li, Yao, Jacob Sharony, Ting Wang, and Z. George Pan. "Minimum-complexity free-space optical nonblocking networks for multicast interconnect applications." Optics Letters 19, no. 8 (April 15, 1994): 515. http://dx.doi.org/10.1364/ol.19.000515.

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41

Büsing, Christina, Alexandra Grub, Arie M. C. A. Koster, Waldemar Laube, and Martin Tieves. "Robust spectrum allocation in elastic flexgrid optical networks: Complexity and formulations." Networks 70, no. 4 (October 23, 2017): 342–59. http://dx.doi.org/10.1002/net.21785.

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42

Li, Yuan, Qiang Zheng, Yao Xie, Jilong Han, and Wei Li. "Low complexity carrier phase estimation for m-QAM optical communication systems." Photonic Network Communications 38, no. 1 (February 2, 2019): 121–28. http://dx.doi.org/10.1007/s11107-019-00833-3.

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43

Flammini, Michele, Alberto Marchetti-Spaccamela, Gianpiero Monaco, Luca Moscardelli, and Shmuel Zaks. "On the Complexity of the Regenerator Placement Problem in Optical Networks." IEEE/ACM Transactions on Networking 19, no. 2 (April 2011): 498–511. http://dx.doi.org/10.1109/tnet.2010.2068309.

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44

ARECCHI, F. T., S. BOCCALETTI, G. GIACOMELLI, G. P. PUCCIONI, P. L. RAMAZZA, and S. RESIDORI. "BOUNDARY DOMINATED VERSUS BULK DOMINATED REGIME IN OPTICAL SPACE-TIME COMPLEXITY." International Journal of Bifurcation and Chaos 04, no. 05 (October 1994): 1281–95. http://dx.doi.org/10.1142/s0218127494000976.

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By increasing the aspect ratio of an optical cavity with a photorefractive crystal, we observe the transition from a boundary-controlled regime, where the size of the transverse patterns scales with the aspect ratio, to a bulk-controlled regime where the pattern size is independent of the aspect ratio. In this new regime, the size corresponds to an intrinsic correlation length imposed by diffusion processes within the material. Such a new behavior is explained by the wave-number dependence of the gain within the instability region. Model equations provide good agreement with the two asymptotic cases of small aspect ratio (diffraction limited regime) and large aspect ratio (diffusion limited regime).

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45

Lavery, Domaniç, Benn C. Thomsen, Polina Bayvel, and Seb J. Savory. "Reduced Complexity Equalization for Coherent Long-Reach Passive Optical Networks [Invited]." Journal of Optical Communications and Networking 7, no. 1 (September 29, 2014): A16. http://dx.doi.org/10.1364/jocn.7.000a16.

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46

Supradeepa, V. R., Chen-Bin Huang, Daniel E. Leaird, and Andrew M. Weiner. "Femtosecond pulse shaping in two dimensions: Towards higher complexity optical waveforms." Optics Express 16, no. 16 (July 24, 2008): 11878. http://dx.doi.org/10.1364/oe.16.011878.

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47

Simmons, J. M., A. A. M. Saleh, E. L. Goldstein, and L. Y. Lin. "Optical crossconnects of reduced complexity for WDM networks with bidirectional symmetry." IEEE Photonics Technology Letters 10, no. 6 (June 1998): 819–21. http://dx.doi.org/10.1109/68.681496.

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48

Bai, Ruowen, and Steve Hranilovic. "Layered antisymmetry-constructed clipped optical OFDM for low-complexity VLC systems." Optics Express 29, no. 7 (March 19, 2021): 10613. http://dx.doi.org/10.1364/oe.421108.

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49

BOURGEOIS, ANU G., and JERRY L. TRAHAN. "RELATING TWO-DIMENSIONAL RECONFIGURABLE MESHES WITH OPTICALLY PIPELINED BUSES." International Journal of Foundations of Computer Science 11, no. 04 (December 2000): 553–71. http://dx.doi.org/10.1142/s0129054100000314.

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Recently, researchers have proposed many models using reconfigurable optically pipelined buses. We present simulations for a number of these models and establish that they possess the same complexity, so that any of these models can simulate a step of one of the other models in constant time with a polynomial increase in size. Specifically, we determine the complexity of three optical models (the PR-Mesh, APPBS, and AROB) to be the same as the well known LR-Mesh and the CF-LR-Mesh.

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50

Kovalsky, Marcelo G., Mónica B. Agüero, Carlos R. Bonazzola, and Alejandro A. Hnilo. "Measuring Algorithmic Complexity in Chaotic Lasers." International Journal of Bifurcation and Chaos 30, no. 04 (March 30, 2020): 2050057. http://dx.doi.org/10.1142/s0218127420500571.

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Thanks to the simplicity and robustness of its calculation methods, algorithmic (or Kolmogorov) complexity appears as a useful tool to reveal chaotic dynamics when experimental time series are too short and noisy to apply Takens’ reconstruction theorem. We measure the complexity in chaotic regimes, with and without extreme events (sometimes called optical rogue waves), of three different all-solid-state lasers: Kerr lens mode locking femtosecond Ti:Sapphire (“fast” saturable absorber), Nd:YVO4 [Formula: see text] Cr:YAG (“slow” saturable absorber) and Nd:YVO4 with modulated losses. We discuss how complexity characterizes the dynamics in an understandable way in all cases, and how it provides a correction factor of predictability given by Lyapunov exponents. This approach may be especially convenient to implement schemes of chaos control in real time.

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