Article
Computer Science, Artificial Intelligence
Haiquan Qiu, Youlong Yang, Saeid Rezakhah
Summary: In practical problems, high-dimensional data often exhibits low-dimensional structure, which can be estimated using correlation dimension methods. However, these methods tend to underestimate the true intrinsic dimension of the dataset.
KNOWLEDGE-BASED SYSTEMS
(2022)
Article
Computer Science, Interdisciplinary Applications
Oli D. Johannsson, Thomas Mejer Hansen
Summary: The paper introduces an MPS estimation algorithm to directly compute and store parameter-wise conditional statistics for potentially faster and more accurate estimation. The method is demonstrated on two types of MPS algorithms and compared with sequential simulation and estimation methods.
COMPUTERS & GEOSCIENCES
(2021)
Article
Computer Science, Interdisciplinary Applications
Francesco Denti
Summary: This article introduces intRinsic, an R package that implements novel likelihood-based estimators for estimating the intrinsic dimension of a dataset. It includes two categories of models: homogeneous and heterogeneous estimators. The package provides high-level functions for easier accessibility and efficient low-level routines. The performance of the models is demonstrated on simulated datasets and applied to the Alon dataset. Estimating the intrinsic dimensions provides valuable insights into the dataset's topological structure.
JOURNAL OF STATISTICAL SOFTWARE
(2023)
Article
Chemistry, Multidisciplinary
Kai Guo, Hu Ye, Junhao Gu, Honglin Chen
Summary: A novel method for intrinsic and extrinsic parameter estimation based on three 2D-3D point correspondences with known camera position is proposed in this paper. By building a new virtual camera system and converting the problem to a P3P problem, the multi-solution problem is addressed successfully.
APPLIED SCIENCES-BASEL
(2021)
Article
Engineering, Electrical & Electronic
Vinay A. Vaishampayan, Maiara F. Bollauf
Summary: The nearest lattice point problem in R-n is discussed in a distributed network, aiming to minimize the error probability while considering communication constraints. Algorithms with different number of communication rounds are compared for n = 2, and expressions for the error probability as well as the communication cost are derived. It is found that the hexagonal lattice, despite its communication efficiency, is the most expensive in terms of communication cost.
IEEE TRANSACTIONS ON COMMUNICATIONS
(2022)
Article
Engineering, Electrical & Electronic
D. Veerendra, Babur Jalal
Summary: This article presents a DOA estimation method using the fast variable step size least mean square (FVSSLMS) method. By modifying the structure of the uniform linear array (ULA), the proposed method provides uniform estimation performance for all DOAs with reduced computation complexity.
IEEE SENSORS JOURNAL
(2022)
Article
Computer Science, Interdisciplinary Applications
Chen Zuo, Zhibin Pan, Zhen Yin, Chen Guo
Summary: Multiple-point statistics (MPS) is a powerful method for generating realistic geological models, but it is limited by slow running speed. To accelerate geostatistical modeling, we propose a nearest neighbor simulation (NNSIM) method and demonstrate its superiority through experiments.
COMPUTERS & GEOSCIENCES
(2022)
Article
Acoustics
Yu Hao, Nan Zou, Longhao Qiu, Chenmu Li, Yan Wang, Guolong Liang
Summary: The study addresses the problem of UCA rotation during far-field underwater target detection by utilizing heading information and steering vector properties to rotate source DOAs from array coordinates to geodetic coordinates in real time. This two-step spatial rotation procedure allows high resolution subspace-based methods to be used, improving the performance of DOA estimation for weak sources.
Article
Computer Science, Information Systems
H. Unozkan
Summary: This paper introduces a method for improving parameter estimation in statistical models by estimating parameters from other statistical distributions, which increases the success rate of the models.
Article
Mechanics
Rui-Feng Zheng, Zi-Chen Deng
Summary: This paper examines the problem of external circular cracks in multiferroic composites. By using the potential theory method, the governing equation for shear mode cracks and the complex stress intensity factor at the crack tip are derived. The findings have important implications for numerical study and theoretical analysis.
ENGINEERING FRACTURE MECHANICS
(2022)
Article
Engineering, Electrical & Electronic
Shekhar Kumar Yadav, Nithin V. George
Summary: By utilizing the array motion of sparse circular arrays on a rotating platform, the degrees of freedom of the rotating array can be increased, leading to a higher total number of resolved signal sources. Simulation studies confirm the effectiveness of array motion in increasing the DOF of an SCA, as well as demonstrate the improved performance of the proposed NSCA.
IEEE SIGNAL PROCESSING LETTERS
(2021)
Article
Mathematics
Alexander Bulinski, Denis Dimitrov
Summary: In this study, it is proven under certain conditions that the estimates based on k-nearest neighbor statistics are asymptotically unbiased and L-2 consistent for the Kullback-Leibler divergence between two probability measures in Rd that are absolutely continuous with respect to the Lebesgue measure. The novelty of the results lies in the treatment of mixture models, particularly including mixtures of nondegenerate Gaussian measures. Moreover, the asymptotic properties of related estimators for the Shannon entropy and cross-entropy are further strengthened.
Article
Engineering, Electrical & Electronic
Meng Wang, Da-Zheng Feng, Mo-Han Chen, Ting-Ting Su, Xue-Jun Zhang
Summary: Conventional DOA estimation methods perform poorly in impulsive noise environments with few snapshots and mismatched noise models. To address this issue, this paper proposes a robust DOA estimation method that is robust to the probability density function of impulsive noise. The method involves establishing a unified cost function framework and designing a robust cost function to suppress the contribution of samples with impulsive noise. A bi-iterative complex fixed-point algorithm is then developed for the nonconvex optimization problem. Simulation results demonstrate that the proposed method outperforms existing methods in impulsive noise environments.
Article
Computer Science, Artificial Intelligence
Maocan Song, Lin Cheng
Summary: This paper addresses the generalized assignment problem and proposes a reliability-oriented model, along with two decomposition-based methods. By dualizing task allocation constraints and using Lagrangian substitution technique, the problem is decomposed into multiple subproblems. Multipliers are optimized with subgradient method and feasible solutions are generated using Lagrangian heuristic. Furthermore, an ADMM-based decomposition approach is proposed, which handles quadratic and concave terms in subproblems using linearization and Lagrangian substitution techniques. Numerical experiments demonstrate the superior convergence and solution quality of the proposed methods.
EXPERT SYSTEMS WITH APPLICATIONS
(2022)
Article
Computer Science, Artificial Intelligence
Zaigham Tahir, Hina Khan, Faten S. Alamri, Muhammad Aslam
Summary: This study presents a generalized neutrosophic ratio-type exponential estimator (NRTEE) for estimating location parameters and achieving the lowest mean square error (MSE) possible for interval neutrosophic data (IND). Unlike typical estimators, its findings are not single-valued but rather in interval form, which reduces the possibility of over-or under-estimation caused by single crisp outcomes and also increases the likelihood of the parameter dwelling in the interval. The suggested NRTEE's efficiency is further addressed by utilizing real-life IND of temperature and simulations.
JOURNAL OF INTELLIGENT & FUZZY SYSTEMS
(2023)
Article
Engineering, Electrical & Electronic
R. G. McKilliam, I. V. L. Clarkson, B. G. Quinn
IEEE SIGNAL PROCESSING LETTERS
(2015)
Article
Engineering, Electrical & Electronic
Assad Akhlaq, R. G. McKilliam, R. Subramanian
IEEE SIGNAL PROCESSING LETTERS
(2015)
Article
Computer Science, Theory & Methods
Mohammad Sayad Haghighi, Sheng Wen, Yang Xiang, Barry Quinn, Wanlei Zhou
IEEE TRANSACTIONS ON INFORMATION FORENSICS AND SECURITY
(2016)
Article
Engineering, Electrical & Electronic
Assad Akhlaq, Robby McKilliam, Ramanan Subramanian, Andre Pollok
IEEE TRANSACTIONS ON SIGNAL PROCESSING
(2016)
Article
Mathematics, Interdisciplinary Applications
Andrew J. Grant, Barry G. Quinn
JOURNAL OF TIME SERIES ANALYSIS
(2017)
Article
Engineering, Aerospace
David Haley, Andrew Beck, Andre Pollok, Alex Grant, Robby McKilliam
Article
Statistics & Probability
Barry G. Quinn
Summary: Fisher proposed a periodicity test in 1929 based on the largest periodogram ordinate, but noted a loss of power in cases where the true frequency falls between two consecutive Fourier frequencies with low signal-to-noise ratio. Whittle and subsequent authors suggested remedies for the white noise assumption. This paper introduces simple tests based on Fourier coefficients that have good power properties at all frequencies.
INTERNATIONAL STATISTICAL REVIEW
(2021)
Article
Engineering, Electrical & Electronic
Barry Gerard Quinn, Jesper Kjaer Nielsen, Mads Graesboll Christensen
Summary: This paper derives the joint maximum likelihood estimator of the fundamental frequency estimator in autoregressive noise, along with three fast algorithms for producing exact or asymptotically equivalent estimators. The fast algorithms are significantly faster than the naive implementation, and jointly estimating the fundamental frequency and AR-parameters using the fast exact algorithm is faster and more accurate than iterative computation. Additionally, modelling noise as coloured reduces outliers compared to modelling it as white Gaussian noise.
Proceedings Paper
Biophysics
Harish Ramachandran, Mark Butlin, Barry Quinn, Alberto P. Avolio, Graham Town
2017 39TH ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY (EMBC)
(2017)
Proceedings Paper
Engineering, Electrical & Electronic
Barry G. Quinn, I. Vaughan L. Clarkson
2017 IEEE 18TH INTERNATIONAL WORKSHOP ON SIGNAL PROCESSING ADVANCES IN WIRELESS COMMUNICATIONS (SPAWC)
(2017)
Proceedings Paper
Computer Science, Artificial Intelligence
Mark D. McDonnell, Robby A. McKilliam, Philip de Chazal
2016 INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS (IJCNN)
(2016)
Proceedings Paper
Acoustics
Barry G. Quinn
2016 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH AND SIGNAL PROCESSING PROCEEDINGS
(2016)
Proceedings Paper
Engineering, Electrical & Electronic
Bao Nguyen, Terence Chan, David Haley, Robby McKilliam
2016 AUSTRALIAN COMMUNICATIONS THEORY WORKSHOP (AUSCTW)
(2016)
Proceedings Paper
Engineering, Electrical & Electronic
Assad Akhlaq, Robby McKilliam, Andre Pollok
2016 AUSTRALIAN COMMUNICATIONS THEORY WORKSHOP (AUSCTW)
(2016)
