activity
20162025
most citedTypical Algorithms for Estimating Hurst Exponent of Time Sequence: A Data Analyst's Perspective

7 citations · 13 across the 9 of their papers we have counts for

collaborators

9 papers

eess.SP2025

A Correction for the Paper "Symplectic geometry mode decomposition and its application to rotating machinery compound fault diagnosis"

Hong-Yan Zhang, Haoting Liu, Rui-Jia Lin +1

The symplectic geometry mode decomposition (SGMD) is a powerful method for decomposing time series, which is based on the diagonal averaging principle (DAP) inherited from the sing…

eess.SP2025

Pulling Back Theorem for Generalizing the Diagonal Averaging Principle in Symplectic Geometry Mode Decomposition and Singular Spectrum Analysis

Hong-Yan Zhang, Haoting Liu, Zhi-Qiang Feng +4

The symplectic geometry mode decomposition (SGMD) is a powerful method for analyzing time sequences. The SGMD is based on the upper conversion via embedding and down conversion via…

math.ST2023

High Order Expansion Method for Kuiper's Statistic in Goodness-of-fit Test

Hong-Yan Zhang, Zhi-Qiang Feng, Haoting Liu +2

Kuiper's statistic, a measure for comparing the difference of ideal distribution and empirical distribution, is of great significance in the goodness-of-fit test. However, Ku…

stat.ME2023★ 7 cited

Typical Algorithms for Estimating Hurst Exponent of Time Sequence: A Data Analyst's Perspective

Hong-Yan Zhang, Zhi-Qiang Feng, Si-Yu Feng +1

The Hurst exponent is a significant metric for characterizing time sequences with long-term memory property and it arises in many fields. The available methods for estimating the H…

stat.CO2023★ 2 cited

Fixed-Point Algorithms for Solving the Critical Value and Upper Tail Quantile of Kuiper's Statistics

Hong-Yan Zhang, Wei Sun, Xiao Chen +2

Kuiper's statistic is a good measure for the difference of ideal distribution and empirical distribution in the goodness-of-fit test. However, it is a challenging problem to solve…

eess.SY2022★ 1 cited

Even Order Explicit Symplectic Geometric Algorithms for Solving Quaternions in Guidance Navigation and Control via Diagonal Padé Approximation and Cayley Transform

Hong-Yan Zhang, Fei Liu, Yu Zhou +1

Quaternion kinematical differential equation (QKDE) plays a key role in navigation, control and guidance systems. Although explicit symplectic geometric algorithms (ESGA) for this…

math.NA2022★ 1 cited

Open Source Implementations of Numerical Algorithms for Computing the Complete Elliptic Integral of the First Kind

Hong-Yan Zhang, Wen-Juan Jiang

The complete elliptic integral of the first kind (CEI-1) plays a significant role in mathematics, physics and engineering. There is no simple formula for its computation, thus nume…

math.NA2022★ 2 cited

Balanced Binary Tree Schemes for Computing Zernike Radial Polynomials

Hong-Yan Zhang, Yu Zhou, Zhi-Qiang Feng

Zernike radial polynomials (ZRP) play a significant role in application areas such as optics design, imaging systems, and image processing systems. Currently, there are two kinds o…

eess.SY2016

Symplectic Geometric Algorithm for Quaternion Kinematical Differential Equation

Hong-Yan Zhang, Lu-Sha Zhou, Zi-Hao Wang +2

Solving quaternion kinematical differential equations is one of the most significant problems in the automation, navigation, aerospace and aeronautics literatures. Most existing ap…