Numerical Characteristic of Gear System Attractor in Phase Space based on G-P Algorithm of Correlation Dimension by He Lin, Matthias Rätsch, Sanmin Wang, Guangshen Xu

“…In order to depict the numerical characteristic of the attractor structure in phase space for gear system effectively, a nonlinear dynamical spur gear transmission model including backlash and general transmission error is established, the calculation formula of equispaced gear system correlation dimension is deduced based on G-P algorithm. …”
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Interferometric phase diagram generation method based on dot trace texture information and semantic segmentation of correlation coefficients by Xuelin Zhang, Zhaoxia Wang, Hui Zhang, Dongliang Xie

“…Third, the interferometric phase diagram is segmented by semantics based on correlation coefficients. …”
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Image preprocessing to enhance phase correlation of featureless images by Joshua Lentz, Hakki Erhan Sevil, David Fries

“…A large set of sky images is used to represent the featureless image category and phase correlation results are analyzed for each proposed pre-processing technique and compared to the basic phase correlation algorithm. …”
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EFFECT OF PHASE-SHIFT INTERFERENCE ON THE NOISE IMMUNITY OF CORRELATION DEMODULATOR OF SIGNALS WITH MULTIPLE PHASE SHIFT KEYING by Gennady V. Kulikov, Van Dung Nguyen, Trung Tien Do

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Cable External Breakage Source Localization Method Based on Improved Generalized Cross-Correlation Phase Transform with Multi-Sensor Fusion by Xuwen Wang, Jiang Li

“…In response to the need for cable outer sound source localization, this paper proposes a collaborative localization method based on an improved generalized cross-correlation phase transform (GCC-PHAT) and multi-sensor fusion. …”
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3D Gerchberg-Saxton Optical Correlation by Wen Chen

“…In this paper, three-dimensional (3D) Gerchberg–Saxton optical correlation is proposed. A 2D image is divided into particle-like points placed in 3D space, which are simultaneously encoded into the cascaded phase masks by using a modified Gerchberg–Saxton algorithm. …”
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Designing an algorithm to detect depression in users: A quantitative correlational study. by Hodan, T.

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Review and experimental comparison of speckle-tracking algorithms for X-ray phase contrast imaging by Rafael Celestre, Laurène Quénot, Christopher Ninham, Emmanuel Brun, Luca Fardin

“…X-ray speckles have been used in a wide range of experiments, including imaging (and tomography), wavefront sensing, spatial coherence measurements, X-ray photon correlation spectroscopy and ptychography. In this review and experimental comparison, we focus on using X-ray near-field speckle grains as wavefront markers and numerical methods for retrieving the phase information they contain. …”
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Investigating the InSAR Phase Bias in the SBAS Algorithm and Its Effect on Different Landcovers by Ebrahim Karami, Siavash Shami, Yasser Maghsoudi, Babak Ranjgar, Saeed Azadnejad

“…In this study, we first calculated the average displacement velocity using a full connection between the interferograms processed with the SBAS algorithm. The results show that the SBAS (full-connection) algorithm is almost free of phase bias and has an 88% correlation with the results obtained from PS-InSAR. …”
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Low‐complexity algorithms for generating frequency hopping sequences with good aperiodic hamming correlation property by Shifu Yang, Zhe Xu, Kaichuang Jiang, Xing Liu

“…Abstract In this letter, novel methods for quickly generating frequency hopping (FH) sequences with good out‐of‐phase peak aperiodic Hamming auto‐correlation (PAHAC) property are proposed. …”
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Enhancing Detection of Multi-Frequency-Modulated SSVEP Using Phase Difference Constrained Canonical Correlation Analysis by Chi Man Wong, Ze Wang, Boyu Wang, Agostinho Rosa, Tzyy-Ping Jung, Feng Wan

“…However, the existing calibration-free recognition algorithms based on the traditional canonical correlation analysis (CCA) cannot provide the merited performance. …”
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Adaptive resolution in speckle displacement measurement using optimized grid-based phase correlation and statistical refinement by Hamed Sabahno, Satyam Paul, Davood Khodadad

“…In this paper, we present an adaptive resolution approach for speckle displacement measurement that combines grid-based phase correlation with statistical refinement for enhanced accuracy and resolution.Unlike traditional phase correlation techniques that rely on global correlation, our method introduces a flexible grid-based framework with localized correlation and dynamic overlap adjustments. …”
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Denoising Algorithm for High-Resolution and Large-Range Phase-Sensitive SPR Imaging Based on PFA by Zihang Pu, Xuelin Wang, Wanwan Chen, Zhexian Liu, Peng Wang

“…We present an enhanced SPR phase imaging system combining a quad-polarization filter array for phase differential detection with a novel polarization pair, block matching, and 4D filtering (PPBM4D) algorithm to extend the dynamic range and enhance resolution. …”
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Synthesis of Algorithms and Procedures for Real-Time Internal Calibration of Receiving Channels in Digital Phased Antenna Arrays by V. H. Tran, M. Th. Hoang, V. B. Nguyen, B. N. Phung

“…With the purpose of improving the method, we propose an algorithm for estimating the phase and amplitude parameters of each receiving channel on the basis of continuous phase correlation accumulation of CalSig samples.Aim. …”
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Novel data-aided SNR estimation algorithm for QPSK signal in AWGN channel by JIANG Zheng-bo, HONG Wei, LIU Jin, TIAN Ling

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Novel data-aided SNR estimation algorithm for QPSK signal in AWGN channel by JIANG Zheng-bo, HONG Wei, LIU Jin, TIAN Ling

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An Unambiguous Acquisition Algorithm for BOC Signal with Arbitrary Order by SHU Yi, HU Hui, XIE Hongqun, FU Yufei

“… Aiming at the ambiguity problem in the acquisition process of BOC ( binary offset carrier ) modulated signal, an unambiguous acquisition algorithm of BOC(m,n) signal based on auto-correlation addition and subtraction complementary is proposed. …”
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Quantum Classical Algorithm for the Study of Phase Transitions in the Hubbard Model via Dynamical Mean-Field Theory by Anshumitra Baul, Herbert Fotso, Hanna Terletska, Ka-Ming Tam, Juana Moreno

“…We present a workflow that synergizes quantum computing, many-body theory, and quantum machine learning (QML) for studying strongly correlated systems. In particular, it can capture a putative quantum phase transition of the stereotypical strongly correlated system, the Hubbard model. …”
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A New Stochastic Model to Improve Positioning Accuracy of the Recursive Least Squares Method by Nerjes Rahemi, Kurosh Zarrinnegar, Mohammad Reza Mosavi

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Reliable smart models for estimating frictional pressure drop in two-phase condensation through smooth channels of varying sizes by M. A. Moradkhani, S. H. Hosseini, Mengjie Song, A. Abbaszadeh

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