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Artículos de revistas sobre el tema "Phase-Based Algorithms"

Autor: Grafiati

Publicado: 1 de febrero de 2025

Última modificación: 31 de julio de 2025

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1

Li, Fanxing, Wei Yan, Fupin Peng, Simo Wang, and Jialin Du. "Enhanced Phase Retrieval Method Based on Random Phase Modulation." Applied Sciences 10, no. 3 (2020): 1184. http://dx.doi.org/10.3390/app10031184.

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The phase retrieval method based on random phase modulation can wipe out any ambiguity and stagnation problem in reconstruction. However, the two existing reconstruction algorithms for the random phase modulation method are suffering from problems. The serial algorithm from the spread-spectrum phase retrieval method can realize rapid convergence but has poor noise immunity. Although there is a parallel framework that can suppress noise, the convergence speed is slow. Here, we propose a random phase modulation phase retrieval method based on a serial–parallel cascaded reconstruction framework t

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2

Hu, Xiao-Xiao, and Kit Ian Kou. "Phase-based edge detection algorithms." Mathematical Methods in the Applied Sciences 41, no. 11 (2017): 4148–69. http://dx.doi.org/10.1002/mma.4567.

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3

Yugov, Vsevolod, and Itsuo Kumazawa. "Online Boosting Algorithm Based on Two-Phase SVM Training." ISRN Signal Processing 2012 (August 14, 2012): 1–8. http://dx.doi.org/10.5402/2012/740761.

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We describe and analyze a simple and effective two-step online boosting algorithm that allows us to utilize highly effective gradient descent-based methods developed for online SVM training without the need to fine-tune the kernel parameters, and we show its efficiency by several experiments. Our method is similar to AdaBoost in that it trains additional classifiers according to the weights provided by previously trained classifiers, but unlike AdaBoost, we utilize hinge-loss rather than exponential loss and modify algorithm for the online setting, allowing for varying number of classifiers. W

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4

Ahmadi, Hamed, and Chen-Fu Chiang. "Quantum phase estimation with arbitrary constant-precision phase shift operators." Quantum Information and Computation 12, no. 9&10 (2012): 864–75. http://dx.doi.org/10.26421/qic12.9-10-9.

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While Quantum phase estimation (QPE) is at the core of many quantum algorithms known to date, its physical implementation (algorithms based on quantum Fourier transform (QFT) ) is highly constrained by the requirement of high-precision controlled phase shift operators, which remain difficult to realize. In this paper, we introduce an alternative approach to approximately implement QPE with arbitrary constant-precision controlled phase shift operators. The new quantum algorithm bridges the gap between QPE algorithms based on QFT and Kitaev's original approach. For approximating the eigenphase p

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5

Naimipour, Naveed, Shahin Khobahi, Mojtaba Soltanalian, Haleh Safavi, and Harry C. Shaw. "Unfolded Algorithms for Deep Phase Retrieval." Algorithms 17, no. 12 (2024): 587. https://doi.org/10.3390/a17120587.

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Exploring the idea of phase retrieval has been intriguing researchers for decades due to its appearance in a wide range of applications. The task of a phase retrieval algorithm is typically to recover a signal from linear phase-less measurements. In this paper, we approach the problem by proposing a hybrid model-based, data-driven deep architecture referred to as Unfolded Phase Retrieval (UPR), which exhibits significant potential in improving the performance of state-of-the-art data-driven and model-based phase retrieval algorithms. The proposed method benefits from the versatility and interp

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6

Choi, Seong Woo. "Scheduling Algorithm for Reentrant Flexible Flow Shop with the Objective Function of Minimizing Orders’ Total Flow Time." Korean Production and Operations Management Society 34, no. 1 (2023): 129–43. http://dx.doi.org/10.32956/kopoms.2023.34.1.129.

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This study focuses on a scheduling problem in a flexible flow shop, where there are serial stages, each with identical parallel machines. We suggest heuristic algorithms for the problem to minimize the total flow time of a given set of orders. Each order is composed of multiple lots and is processed on any parallel machines at each stage. This shop has reentrant flows since products for specific orders should visit the processing stages twice. We suggest algorithms of two types. The algorithms of the first type are three-phase algorithms, and the second type's algorithm is one-phase. In the fi

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7

Vrouva, Sotiria, George A. Koumantakis, Varvara Sopidou, Petros I. Tatsios, Christos Raptis, and Adam Adamopoulos. "Comparison of Machine Learning Algorithms and Hybrid Computational Intelligence Algorithms for Rehabilitation Classification and Prognosis in Reverse Total Shoulder Arthroplasty." Bioengineering 12, no. 2 (2025): 150. https://doi.org/10.3390/bioengineering12020150.

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Despite the increasing application of machine learning and computational intelligence algorithms in medicine and physiotherapy, accurate classification and prognosis algorithms for postoperative patients in the rehabilitation phase are still lacking. The present study was carried out in two phases. In Phase I, classification performance of simple machine learning algorithms applied on data of patients suffering of reverse total shoulder arthroplasty (RTSA), examining algorithms’ classification accuracy and patients’ rehabilitation prognosis. In Phase II, hybrid computational intelligence algor

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8

Wu, Ting, Yuling Yang, Hao Wang, et al. "Investigation of an Improved Angular Spectrum Method Based on Holography." Photonics 11, no. 1 (2023): 16. http://dx.doi.org/10.3390/photonics11010016.

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Digital holography (DH) is a novel, real-time, non-destructive, and quantitative phase-contrast imaging method that is particularly suitable for label-free live biological cell imaging and real-time dynamic monitoring. It is currently a research hotspot in the interdisciplinary field of optics and biomedical sciences, both domestically and internationally. This article proposes an improved angle spectrum algorithm based on holographic technology, which reconstructs a cellular hologram based on phase information. Optical images and chromosome cell images, reconstructed using holographic technol

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9

Zou, Feng, Lei Wang, Xinhong Hei, Debao Chen, Qiaoyong Jiang, and Hongye Li. "Bare-Bones Teaching-Learning-Based Optimization." Scientific World Journal 2014 (2014): 1–17. http://dx.doi.org/10.1155/2014/136920.

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Teaching-learning-based optimization (TLBO) algorithm which simulates the teaching-learning process of the class room is one of the recently proposed swarm intelligent (SI) algorithms. In this paper, a new TLBO variant called bare-bones teaching-learning-based optimization (BBTLBO) is presented to solve the global optimization problems. In this method, each learner of teacher phase employs an interactive learning strategy, which is the hybridization of the learning strategy of teacher phase in the standard TLBO and Gaussian sampling learning based on neighborhood search, and each learner of le

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10

Pan, Jeng-Shyang, Li-Fa Liu, Shu-Chuan Chu, Pei-Cheng Song, and Geng-Geng Liu. "A New Gaining-Sharing Knowledge Based Algorithm with Parallel Opposition-Based Learning for Internet of Vehicles." Mathematics 11, no. 13 (2023): 2953. http://dx.doi.org/10.3390/math11132953.

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Heuristic optimization algorithms have been proved to be powerful in solving nonlinear and complex optimization problems; therefore, many effective optimization algorithms have been applied to solve optimization problems in real-world scenarios. This paper presents a modification of the recently proposed Gaining–Sharing Knowledge (GSK)-based algorithm and applies it to optimize resource scheduling in the Internet of Vehicles (IoV). The GSK algorithm simulates different phases of human life in gaining and sharing knowledge, which is mainly divided into the senior phase and the junior phase. The

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11

Xin, Jinlong, Guisheng Liao, Zhiwei Yang, and Haoming Shen. "Ambiguity Resolution for Passive 2-D Source Localization with a Uniform Circular Array." Sensors 18, no. 8 (2018): 2650. http://dx.doi.org/10.3390/s18082650.

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This paper proposes two novel phase-based algorithms for the passive localization of a single source with a uniform circular array (UCA) under the case of measuring phase ambiguity based on two phase difference observation models, which are defined as the unambiguous-relative phase observation model (UARPOM) and the ambiguous-relative phase observation model (ARPOM). First, by analyzing the varying regularity of the phase differences between the adjacent array elements of a UCA, the corresponding relationship between the phase differences and the azimuth and elevation angle of the signal is de

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12

Lu, Chang, Chuanwei Wang, and Riyi Lin. "The Development and Application of EOS-based VT Phase Behavior Calculation Algorithms in Petroleum Industry." Science Insights 41, no. 6 (2022): 697–712. http://dx.doi.org/10.15354/si.22.or028.

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The use of equation of state (EOS)-based phase behavior calculations is widespread in the petroleum industry, including the calculation of oil and gas reserves, production forecasting, and optimization of enhanced oil recovery (EOR) plans, surface separator design, and pipe flow calculation. The most commonly used method for providing phase behavior information is PT phase-equilibrium-calculation algorithms, which have been extensively studied for decades. However, simulation and engineering design of these processes using VT phase-equilibrium- calculation algorithms is sometimes more convenie

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13

Doria-Cerezo, Arnau, Victor Repecho, and Domingo Biel. "Three-Phase Phase-Locked Loop Algorithms Based on Sliding Modes." IEEE Transactions on Power Electronics 36, no. 9 (2021): 10842–51. http://dx.doi.org/10.1109/tpel.2021.3064674.

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14

Qi, Zhaoshuai, Xiaojun Liu, Jingqi Pang, Yifeng Hao, Rui Hu, and Yanning Zhang. "PSNet: A Deep Learning Model-Based Single-Shot Digital Phase-Shifting Algorithm." Sensors 23, no. 19 (2023): 8305. http://dx.doi.org/10.3390/s23198305.

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In contrast to traditional phase-shifting (PS) algorithms, which rely on capturing multiple fringe patterns with different phase shifts, digital PS algorithms provide a competitive alternative to relative phase retrieval, which achieves improved efficiency since only one pattern is required for multiple PS pattern generation. Recent deep learning-based algorithms further enhance the retrieved phase quality of complex surfaces with discontinuity, achieving state-of-the-art performance. However, since much attention has been paid to understanding image intensity mapping, such as supervision via

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15

Kim, Chyon Hae, Hiroshi Tsujino, and Shigeki Sugano. "Rapid Short-Time Path Planning for Phase Space." Journal of Robotics and Mechatronics 23, no. 2 (2011): 271–80. http://dx.doi.org/10.20965/jrm.2011.p0271.

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This paper addresses optimal motion for general machines. Approximation for optimal motion requires a global path planning algorithm that precisely calculates the whole dynamics of a machine in a brief calculation. We propose a path planning algorithm that consists of path searching and pruning algorithms. The pruning algorithmis based on our analysis of state resemblance in general phase space. To confirm precision, calculation cost, optimality and applicability of the proposed algorithm, we conducted several shortest time path planning experiments for the dynamic models of double inverted pe

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16

Pu, Yurui, and Chaoliang Chen. "A comparison of cross-correlation-based and phase-correlation-based image registration algorithms for optical coherence tomographic angiography." Chinese Optics Letters 22, no. 7 (2024): 071101. http://dx.doi.org/10.3788/col202422.071101.

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17

Shen, Qian, and Wenbo Liu. "A Novel Digital Image Encryption Algorithm Based on Orbit Variation of Phase Diagram." International Journal of Bifurcation and Chaos 27, no. 13 (2017): 1750204. http://dx.doi.org/10.1142/s0218127417502042.

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Chaotic systems have been widely used in digital image encryption algorithms because of their characteristics of deterministic randomness, extreme sensitivity to initial values, etc. Although these chaos-based algorithms are good at performance in general, most of them are ineffective when confronting attacks such as the chosen plain image attack. So, this paper proposes a new digital image encryption algorithm based on orbit variation of phase diagram (AOVPD), which modifies the iterative sequence of chaotic system with the pixel values of plain image. Theoretical analysis proves that the pro

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18

Tu, Yaqing, Ting’ao Shen, Haitao Zhang, and Ming Li. "Two New Sliding DTFT Algorithms for Phase Difference Measurement Based on a New Kind of Windows." Measurement Science Review 14, no. 6 (2014): 350–56. http://dx.doi.org/10.2478/msr-2014-0048.

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Abstract For the ultra-low frequency signals or adjacent Nyquist frequency signals, which exist in the vibration engineering domain, the traditional DTFT-based algorithm shows serious bias for phase difference measurement. It is indicated that the spectrum leakage and negative frequency contribution are the essential causes of the bias. In order to improve the phase difference measurement accuracy of the DTFT-based algorithm, two new sliding DTFT algorithms for phase difference measurement based on a new kind of windows are proposed, respectively. Firstly, the new kind of windows developed by

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19

Liu, Wencheng, Yuan Zhang, Xuyang Ge, et al. "An Improved Knowledge-Based Ground Moving Target Relocation Algorithm for a Lightweight Unmanned Aerial Vehicle-Borne Radar System." Remote Sensing 17, no. 7 (2025): 1182. https://doi.org/10.3390/rs17071182.

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With the rapid development of lightweight unmanned aerial vehicles (UAVs), the combination of UAVs and ground moving target indication (GMTI) radar systems has received great interest. In GMTI, moving target relocation is an essential requirement, because the positions of the moving targets are usually displaced. For a multichannel radar system, the position of moving targets can be accurately obtained by estimating their interferometric phase. However, the high position accuracy requirements of antennas and the computational resource requirements of algorithms limit the applications of reloca

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20

Chen, Ju, Yuan Gao, Mohd Shareduwan Mohd Kasihmuddin, et al. "MTS-PRO2SAT: Hybrid Mutation Tabu Search Algorithm in Optimizing Probabilistic 2 Satisfiability in Discrete Hopfield Neural Network." Mathematics 12, no. 5 (2024): 721. http://dx.doi.org/10.3390/math12050721.

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The primary objective of introducing metaheuristic algorithms into traditional systematic logic is to minimize the cost function. However, there is a lack of research on the impact of introducing metaheuristic algorithms on the cost function under different proportions of positive literals. In order to fill in this gap and improve the efficiency of the metaheuristic algorithm in systematic logic, we proposed a metaheuristic algorithm based on mutation tabu search and embedded it in probabilistic satisfiability logic in discrete Hopfield neural networks. Based on the traditional tabu search alg

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21

Al-Momani, Mohammad, Seba Al-Gharaibeh, Ali Al-Dmour, and Allaham Ahmed. "Islanding Detection Method Based Artificial Neural Network." Jordan Journal of Energy 1, no. 1 (2022): 19–36. http://dx.doi.org/10.35682/jje.v1i1.3.

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This paper presents a new islanding detection technique based on an artificial neural network (ANN) for a doubly fed induction wind turbine (DFIG). This technique takes advantage of ANN as pattern classifiers. Five different ANN systems are presented in this paper based on various inputs: three phase power, phase voltage, phase current, neutral voltage, and neutral current. An ANN structure is trained for each input, and the comparison between the different structures is presented. Feedforward ANN structures are used for the five systems. Three different learning algorithms are used: backpropa

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22

Ikotun, Abiodun M., and Absalom E. Ezugwu. "Enhanced Firefly-K-Means Clustering with Adaptive Mutation and Central Limit Theorem for Automatic Clustering of High-Dimensional Datasets." Applied Sciences 12, no. 23 (2022): 12275. http://dx.doi.org/10.3390/app122312275.

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Metaheuristic algorithms have been hybridized with the standard K-means to address the latter’s challenges in finding a solution to automatic clustering problems. However, the distance calculations required in the standard K-means phase of the hybrid clustering algorithms increase as the number of clusters increases, and the associated computational cost rises in proportion to the dataset dimensionality. The use of the standard K-means algorithm in the metaheuristic-based K-means hybrid algorithm for the automatic clustering of high-dimensional real-world datasets poses a great challenge to th

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23

Zhao, Tieyu, and Yingying Chi. "Modified Gerchberg–Saxton (G-S) Algorithm and Its Application." Entropy 22, no. 12 (2020): 1354. http://dx.doi.org/10.3390/e22121354.

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The Gerchberg–Saxton (G-S) algorithm is a phase retrieval algorithm that is widely used in beam shaping and optical information processing. However, the G-S algorithm has difficulty obtaining the exact solution after iterating, and an approximate solution is often obtained. In this paper, we propose a series of modified G-S algorithms based on the Fresnel transform domain, including the single-phase retrieval (SPR) algorithm, the double-phase retrieval (DPR) algorithm, and the multiple-phase retrieval (MPR) algorithm. The analysis results show that the convergence of the SPR algorithm is bette

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24

Xu, Jingjiang, Shaozhen Song, Yuandong Li, and Ruikang K. Wang. "Complex-based OCT angiography algorithm recovers microvascular information better than amplitude- or phase-based algorithms in phase-stable systems." Physics in Medicine & Biology 63, no. 1 (2017): 015023. http://dx.doi.org/10.1088/1361-6560/aa94bc.

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25

Muñoz, Mario A., and Kate A. Smith-Miles. "Performance Analysis of Continuous Black-Box Optimization Algorithms via Footprints in Instance Space." Evolutionary Computation 25, no. 4 (2017): 529–54. http://dx.doi.org/10.1162/evco_a_00194.

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This article presents a method for the objective assessment of an algorithm’s strengths and weaknesses. Instead of examining the performance of only one or more algorithms on a benchmark set, or generating custom problems that maximize the performance difference between two algorithms, our method quantifies both the nature of the test instances and the algorithm performance. Our aim is to gather information about possible phase transitions in performance, that is, the points in which a small change in problem structure produces algorithm failure. The method is based on the accurate estimation

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26

Zhang, Songsong, and Haisong Huang. "Step Surface Profile Measurement Based on Fringe Projection Phase-Shifting Using Selective Sampling." Photonics 8, no. 12 (2021): 592. http://dx.doi.org/10.3390/photonics8120592.

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Fringe projection is a non-contact optical method that is widely used in the optical precision measurement of complex stepped surfaces. However, the accuracy of the fringe phase extraction employed has a direct impact on the measurement precision of the surface shape. Where phase-shifting measurement is used, the classical equal step phase extraction algorithm can only be used to measure simple and smooth surfaces, and leads to measurement errors on complex stepped surfaces, which affects the accuracy of the phase extraction. In addition, the iterative process lasts for a long time, resulting

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27

Liu, Zhen, Xin Chen, Zhenhua Wei, Tianpeng Liu, Linlin Li, and Bo Peng. "Ambiguity Analysis and Resolution for Phase-Based 3D Source Localization under Given UCA." International Journal of Antennas and Propagation 2019 (April 18, 2019): 1–12. http://dx.doi.org/10.1155/2019/4743829.

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Under uniform circular array, by employing some algebraic schemes to exploit the phase information of receiving data and further estimate the source’s three-dimensional (3D) parameters (azimuth angle, elevation angle, and range), a series of novel phase-based algorithms with low computational complexity have been proposed recently. However, when the array diameter is larger than source’s half-wavelength, these algorithms would suffer from phase ambiguity problem. Even so, there always exist certain positions, where the source’s parameters can still be determined with nonambiguity. Therefore, t

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28

Guo, Long Yuan, Chang Yin Sun, Guo Yun Zhang, and Jian Hui Wu. "Variable Window Stereo Matching Based on Phase Congruency." Applied Mechanics and Materials 380-384 (August 2013): 3998–4001. http://dx.doi.org/10.4028/www.scientific.net/amm.380-384.3998.

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The major challenge in area stereo matching algorithms is to find appropriate window size and shape. Phase congruency is robust to noise and can reflects the gray changes. With these benefits, the paper first detects image and determines pixels characteristics according to phase congruency. Then, different window will be used to matching according to different feature pixels. After using cost function which combined with non-parametric measure and gray value, the final disparity map will be obtained. The result of experiment indicates that the algorithm can generates more accurate disparity ma

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29

Zhang Zhihui, 张志会, 王华英 Wang Huaying, 刘佐强 Liu Zuoqiang, et al. "Phase Unwrapping Algorithms Based on Fast Fourier Transform." Laser & Optoelectronics Progress 49, no. 12 (2012): 120902. http://dx.doi.org/10.3788/lop49.120902.

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Cozzi, A., B. Crespi, F. Valentinotti, and F. Wörgötter. "Performance of phase-based algorithms for disparity estimation." Machine Vision and Applications 9, no. 5-6 (1997): 334–40. http://dx.doi.org/10.1007/s001380050052.

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Zhang, Yinan, Guangxue Wang, Shirui Peng, Yi Leng, Guowen Yu, and Bingqie Wang. "Near-Field Beamforming Algorithms for UAVs." Sensors 23, no. 13 (2023): 6172. http://dx.doi.org/10.3390/s23136172.

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This study presents three distributed beamforming algorithms to address the challenges of positioning and signal phase errors in unmanned aerial vehicle (UAV) arrays that hinder effective beamforming. Firstly, the array’s received signal phase error model was analyzed under near-field conditions. In the absence of navigation data, a beamforming algorithm based on the Extended Kalman Filter (EKF) was proposed. In cases where navigation data were available, Taylor expansion was utilized to simplify the model, the non-Gaussian noise of the compensated received signal phase was approximated to Gau

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Sohaib, Sarmad, Muhammad Ahmad, and Muhammad Shafi. "Feedback algorithms for intelligent reflecting surfaces: Phase shift matrix and single-bit feedback." PLOS One 20, no. 5 (2025): e0322183. https://doi.org/10.1371/journal.pone.0322183.

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This paper introduces two innovative feedback algorithms—phase shift matrix (PSM)-based and single-bit feedback (SBF)-based—that improve the efficiency of phase adjustments in intelligent reflecting surfaces (IRS). In the PSM-based algorithm, the IRS phase shift vector is selected from a predefined PSM to maximize the output signal-to-noise ratio (SNR) at the receiver. The receiver then sends back only the index of the optimal phase shift vector to the transmitter. In contrast, the SBF algorithm adjusts the IRS elements using single-bit feedback. Here, the transmitter makes a minor random alte

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Pereira, Leonardo T., and Claudio F. M. Toledo. "Speeding up Search-Based Algorithms for Level Generation in Physics-Based Puzzle Games." International Journal on Artificial Intelligence Tools 26, no. 05 (2017): 1760019. http://dx.doi.org/10.1142/s0218213017600193.

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This research uses Machine Learning (ML) techniques in order to aid search-based (SB) algorithms to improve level generation for physics-based puzzle games. These algorithms’ performance are improved by reducing simulation time when the ML techniques are applied. Classification algorithms prevent levels with undesired traits to be evaluated during the simulation phase of the SB procedures. An Angry Birds clone is used for conducting the experiments and results report improvement using the combined approach against every SB algorithm by itself.

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Zhen, Tao, Lei Yan, and Peng Yuan. "Walking Gait Phase Detection Based on Acceleration Signals Using LSTM-DNN Algorithm." Algorithms 12, no. 12 (2019): 253. http://dx.doi.org/10.3390/a12120253.

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Gait phase detection is a new biometric method which is of great significance in gait correction, disease diagnosis, and exoskeleton assisted robots. Especially for the development of bone assisted robots, gait phase recognition is an indispensable key technology. In this study, the main characteristics of the gait phases were determined to identify each gait phase. A long short-term memory-deep neural network (LSTM-DNN) algorithm is proposed for gate detection. Compared with the traditional threshold algorithm and the LSTM, the proposed algorithm has higher detection accuracy for different wa

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Hou, Shuai, Yujiao Li, Meijuan Bai, et al. "Phase Prediction of High-Entropy Alloys by Integrating Criterion and Machine Learning Recommendation Method." Materials 15, no. 9 (2022): 3321. http://dx.doi.org/10.3390/ma15093321.

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The comprehensive properties of high-entropy alloys (HEAs) are highly-dependent on their phases. Although a large number of machine learning (ML) algorithms has been successfully applied to the phase prediction of HEAs, the accuracies among different ML algorithms based on the same dataset vary significantly. Therefore, selection of an efficient ML algorithm would significantly reduce the number and cost of the experiments. In this work, phase prediction of HEAs (PPH) is proposed by integrating criterion and machine learning recommendation method (MLRM). First, a meta-knowledge table based on

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Hang Ho, Yuen, Humaira Nisar, and Muhammad Burhan Khan. "Segmentation of Activated Sludge Filaments using Phase Contrast Images." Oriental journal of computer science and technology 11, no. 3 (2018): 145–53. http://dx.doi.org/10.13005/ojcst11.03.03.

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Segmentation algorithms play an important role in image processing and analysis. The identification of objects and process monitoring strongly depends on the accuracy of the segmentation algorithms. Waste water treatment plants are used to treat wastewater from municipal and industrial plants. Activated sludge process is used in wastewater treatment plants to biodegrade the organic constituents present in waste water. This biodegradation is done with the help of microorganisms and bacteria. There are two important types of microscopic organisms present in the activated sludge plants, named as

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Guha, Siddharth, Abdalla Ibrahim, Qian Wu, et al. "Machine learning-based identification of contrast-enhancement phase of computed tomography scans." PLOS ONE 19, no. 2 (2024): e0294581. http://dx.doi.org/10.1371/journal.pone.0294581.

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Contrast-enhanced computed tomography scans (CECT) are routinely used in the evaluation of different clinical scenarios, including the detection and characterization of hepatocellular carcinoma (HCC). Quantitative medical image analysis has been an exponentially growing scientific field. A number of studies reported on the effects of variations in the contrast enhancement phase on the reproducibility of quantitative imaging features extracted from CT scans. The identification and labeling of phase enhancement is a time-consuming task, with a current need for an accurate automated labeling algo

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Yao, Liguo, Guanghui Li, Panliang Yuan, Jun Yang, Dongbin Tian, and Taihua Zhang. "Reptile Search Algorithm Considering Different Flight Heights to Solve Engineering Optimization Design Problems." Biomimetics 8, no. 3 (2023): 305. http://dx.doi.org/10.3390/biomimetics8030305.

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The reptile search algorithm is an effective optimization method based on the natural laws of the biological world. By restoring and simulating the hunting process of reptiles, good optimization results can be achieved. However, due to the limitations of natural laws, it is easy to fall into local optima during the exploration phase. Inspired by the different search fields of biological organisms with varying flight heights, this paper proposes a reptile search algorithm considering different flight heights. In the exploration phase, introducing the different flight altitude abilities of two a

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Lee, Haemin, Chang-Sik Jung, and Ki-Wan Kim. "Feature Preserving Autofocus Algorithm for Phase Error Correction of SAR Images." Sensors 21, no. 7 (2021): 2370. http://dx.doi.org/10.3390/s21072370.

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Autofocus is an essential technique for airborne synthetic aperture radar (SAR) imaging to correct phase errors mainly due to unexpected motion error. There are several well-known conventional autofocus methods such as phase gradient autofocus (PGA) and minimum entropy (ME). Although these methods are still widely used for various SAR applications, each method has drawbacks such as limited bandwidth of estimation, low convergence rate, huge computation burden, etc. In this paper, feature preserving autofocus (FPA) algorithm is newly proposed. The algorithm is based on the minimization of the c

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Li, Jiaoyang, Kexuan Sun, Hang Ma, Ariel Felner, T. K. Kumar, and Sven Koenig. "Moving Agents in Formation in Congested Environments." Proceedings of the International Symposium on Combinatorial Search 11, no. 1 (2021): 131–32. http://dx.doi.org/10.1609/socs.v11i1.18525.

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In this paper, we formalize and study the Moving Agents in Formation (MAiF) problem, that combines the tasks of finding short collision-free paths for multiple agents and keeping them in close adherence to a desired formation. Previous work includes controller-based algorithms, swarm-based algorithms, and potential-field-based algorithms. They usually focus on only one or the other of these tasks, solve the problem greedily without systematic search, and thus generate costly solutions or even fail to find solutions in congested environment. In this paper, we develop a two-phase search algorith

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Li, Qing Qian, and Yong Hui Zhang. "An Optimization Algorithm of Phase Angle Calculation Based on the FPGA Implementation." Applied Mechanics and Materials 513-517 (February 2014): 439–43. http://dx.doi.org/10.4028/www.scientific.net/amm.513-517.439.

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An optimization algorithm of phase angle calculation based on FPGA implementation is mainly described in this paper .From two arctangent function calculation algorithms analysis, we combine the strengths of them, and propose a optimized algorithm of phase angle calculation. The theoretical analysis and hardware validation shows that the algorithm has good performances such as high accuracy, good real-time performance, less resource consumption. At the same time, this algorithm can be comprehensive, and can be considered as an IP core to realize the high-speed, parallel calculation of transcend

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42

Pedroza, Angel David, José I. De la Rosa, Rogelio Rosas, et al. "Acoustic Individual Identification in Birds Based on the Band-Limited Phase-Only Correlation Function." Applied Sciences 10, no. 7 (2020): 2382. http://dx.doi.org/10.3390/app10072382.

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A new technique based on the Band-Limited Phase-Only Correlation (BLPOC) function to deal with acoustic individual identification is proposed in this paper. This is a biometric technique suitable for limited data individual bird identification. The main advantage of this new technique, in contrast to traditional algorithms where the use of large-scale datasets is assumed, is its ability to identify individuals by the use of only two samples from the bird species. The proposed technique has two variants (depending on the method used to analyze and extract the bird vocalization from records): au

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Zhang, Xiaoyu, Genxiang Chen, and Qi Zhang. "LCOS-SLM Based Intelligent Hybrid Algorithm for Beam Splitting." Electronics 11, no. 3 (2022): 428. http://dx.doi.org/10.3390/electronics11030428.

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The iterative Fourier transform algorithm (IFTA) is widely used in various optical communication applications based on liquid crystal on silicon spatial light modulators. However, the traditional iterative method has many disadvantages, such as a poor effect, an inability to select an optimization direction, and the failure to consider zero padding or phase quantization. Moreover, after years of development, the emergence of various variant algorithms also makes it difficult for researchers to choose one. In this paper, a new intelligent hybrid algorithm that combines the IFTA and differential

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Fayyaz, Zahra, Nafiseh Mohammadian, M. Reza Rahimi Tabar, Rayyan Manwar, and Kamran Avanaki. "A comparative study of optimization algorithms for wavefront shaping." Journal of Innovative Optical Health Sciences 12, no. 04 (2019): 1942002. http://dx.doi.org/10.1142/s1793545819420021.

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By manipulating the phase map of a wavefront of light using a spatial light modulator, the scattered light can be sharply focused on a specific target. Several iterative optimization algorithms for obtaining the optimum phase map have been explored. However, there has not been a comparative study on the performance of these algorithms. In this paper, six optimization algorithms for wavefront shaping including continuous sequential, partitioning algorithm, transmission matrix estimation method, particle swarm optimization, genetic algorithm (GA), and simulated annealing (SA) are discussed and c

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Wu, Zong-Sheng, Wei-Ping Fu, and Ru Xue. "Nonlinear Inertia Weighted Teaching-Learning-Based Optimization for Solving Global Optimization Problem." Computational Intelligence and Neuroscience 2015 (2015): 1–15. http://dx.doi.org/10.1155/2015/292576.

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Teaching-learning-based optimization (TLBO) algorithm is proposed in recent years that simulates the teaching-learning phenomenon of a classroom to effectively solve global optimization of multidimensional, linear, and nonlinear problems over continuous spaces. In this paper, an improved teaching-learning-based optimization algorithm is presented, which is called nonlinear inertia weighted teaching-learning-based optimization (NIWTLBO) algorithm. This algorithm introduces a nonlinear inertia weighted factor into the basic TLBO to control the memory rate of learners and uses a dynamic inertia w

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Gelchinsky, B., E. Landa, and V. Shtivelman. "Algorithms of phase and group correlation." GEOPHYSICS 50, no. 4 (1985): 596–608. http://dx.doi.org/10.1190/1.1441935.

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In this paper we consider algorithms of phase and group correlation which are based on different assumptions regarding the character of wave field. In order to construct the correlation algorithm, the wave field is presented as a product of an envelope and a normalized seismogram. Phase correlation is performed on the normalized seismogram, while group correlation is performed on the perigram, a low cut version of the envelope function. The central point of the correlation algorithm is the construction of a functional which characterizes the main correlation properties of the wave field. This

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Burkov, Artem, Andrey Turlikov, and Roman Rachugin. "Analyzing and stabilizing multichannel ALOHA with the use of the preamble-based exploration phase." Information and Control Systems, no. 5 (October 28, 2022): 49–59. http://dx.doi.org/10.31799/1684-8853-2022-5-49-59.

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Introduction: Internet of Things devices are actively used within the framework of Massive Machine-Type Communication scenarios. The interaction of devices is carried out by random multiple-access algorithms with limited throughput. To improve throughput one can use orthogonal preambles in the ALOHA-type class of algorithms. Purpose: To analyze ALOHA-based algorithms using the exploration phase and to calculate the characteristics for the algorithm with and without losses with a finite number of channels. Results: We have described a system model that employs random access for data transmissio

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Ameer Noory, Zainab, and Raaed F. Hassan. "Performance Comparison of Five-Level Active Neutral Point Converter Based on Phase Disposition-PWM and Alternate Phase Opposition Disposition-PWM." ITM Web of Conferences 50 (2022): 03001. http://dx.doi.org/10.1051/itmconf/20225003001.

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The work in this paper presents the performance analysis of the reduced component count converter which is the 5-Level Active Neutral Point Converter (5LANPC). This 5-level converter has been configured by stacking the traditional 3-Level Neutral Point Converter with the Flying Capacitor converter. Two types of control algorithms were considered and compared to explore the performance of the 5LANPC. The first algorithm was based on the Phase-Disposition-Pulse Width Modulation (PD-PWM), while the second one was based on the Alternate Phase Opposition Disposition-Pulse Width Modulation (APOD-PWM

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Wang, Yong, Wen Wang, Mu Zhou, Aihu Ren, and Zengshan Tian. "Remote Monitoring of Human Vital Signs Based on 77-GHz mm-Wave FMCW Radar." Sensors 20, no. 10 (2020): 2999. http://dx.doi.org/10.3390/s20102999.

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In recent years, non-contact radar detection technology has been able to achieve long-term and long-range detection for the breathing and heartbeat signals. Compared with contact-based detection methods, it brings a more comfortable and a faster experience to the human body, and it has gradually received attention in the field of radar sensing. Therefore, this paper extends the application of millimeter-wave radar to the field of health care. The millimeter-wave radar first transmits the frequency-modulated continuous wave (FMCW) and collects the echo signals of the human body. Then, the phase

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He, Wei, Yiyuan Cheng, Ling Xia, and Feng Liu. "A New Particle Swarm Optimization-Based Method for Phase Unwrapping of MRI Data." Computational and Mathematical Methods in Medicine 2012 (2012): 1–9. http://dx.doi.org/10.1155/2012/475745.

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A new method based on discrete particle swarm optimization (dPSO) algorithm is proposed to solve the branch-cut phase unwrapping problem of MRI data. In this method, the optimal order of matching the positive residues with the negative residues is first identified by the dPSO algorithm, then the branch cuts are placed to join each pair of the opposite polarity residues, and in the last step phases are unwrapped by flood-fill algorithm. The performance of the proposed algorithm was tested on both simulated phase image and MRI wrapped phase data sets. The results demonstrated that, compared with

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