Separation of Overlapped Non-Stationary Signals by RPRG and ICCD

Signal decomposition for overlapped non-stationary signals

and experimental micro-Doppler (m-D) signals are presented to show the effectiveness of the method.see our works and full text onhttps://www.researchgate.net/profile/Shiqian_Chen2

variational nonlinear chirp mode decomposition

Method for decompose nonlinear chirps with multiple signal modes

https://www.researchgate.net/profile/Shiqian_Chen2

Adaptive Chirp Mode Decomposition

method for multi-component non-stationary signal decomposition and instantaneous frequency estimation

The matlab codes permit to reproduce some results in the paper: Chen S, Yang Y, Peng Z, et al, Detection of Rub-Impact Fault for Rotor-Stator Systems: A Novel Method Based on Adaptive Chirp Mode

fengweiigg/GRACE_Matlab_Toolbox

GRACE Matlab Toolbox (GRAMAT)

Generalized dispersive mode decomposition (GDMD)

group delay (dispersion curve) estimation and mode separation for dispersive signal with crossed signal modes

The matlab codes permit to reproduce some results in the paper: Chen S, Wang K, Peng Z, et al, Generalized dispersive mode decomposition: Algorithm and applications, Journal of Sound and Vibration

Generation of Random Variates

generates random variates from over 870 univariate distributions

Data-driven adaptive chirp mode decomposition

A data-driven adaptive signal decomposition method for time-varying AM-FM signals

The matlab codes permit to reproduce some results in the paper: Hongbing Wang, Shiqian Chen, et al. Data-driven adaptive chirp mode decomposition with application to machine fault diagnosis under

feature-based retinal image registration

feature point, retinal image , image registration, blood vessel

Lyapunov exponents of fractional-order systems

MATLAB code for Lyapunov exponent spectrum of Fractional-Order Systems (defined by continuous-time fractional differential equations)

fractional-order Chen system, and the fractional-order Duffing oscillator. The algorithm is based on the memory principle of fractional order derivatives and has no restriction on the dimension and order of the

Signal mode regrouping based on Gini index

The method can solve the over-decomposition issues of the signal decomposition algorithm for the wide-band impulse signals.

contact:Shiqian Chen; chenshiqian@swjtu.edu.cn; https://www.researchgate.net/profile/Shiqian_Chen2

Chen Primes

Calculates Chen primes less than or equal to a number

This function returns Chen primes less than or equal to the passed number in a row vector.

Chen Gackstatter minimal surface

Chen Gackstatter minimal surface

Chen Gackstatter minimal surfaceperiod 5

Kernel Learning Toolbox

Machine Learning with kernels

Sutton-Chen potential

Calculate the Sutton-Chen potential for any amount of atoms

Calculate the Sutton-Chen potential for any amount of atoms. The description is in spanish. Email me for details.

Chen correlation wall temperature calculation

Calculation of pipe wall temperature using the 1963 Chen correlation for subcooled boiling flow

This function uses the 1963 Chen correlation for subcooled boiling flow to calculate the wall temperature of a pipe, based on inlet pressure, an initial guess of the pressure at the pipe wall, and

Fractional Order Chaotic Systems

Numerical solutions of the fractional order chaotic systems.

This toolbox contains the functions which can be used to simulate some of the well-known fractional order chaotic systems, such as:-Chen's system,-Arneodo's system,-Genesio-Tesi's system,-Lorenz

Derivative (force) of potential Sutton-Chen

Calulate the derivative of potential Sutton-Chen, for any number of atoms

Calulate the derivative of potential Sutton-Chen, for any number of atoms. Comments are in spanish. Email me for more details.

Lyapunov exponents of fractional-order Chen systems

Matlab code for Lyapunov exponents of 4D hyperchaotic fractional-order Chen systems

MATLAB Code for computing the Lyapunov exponent of 4D hyperchaotic fractional-order Chen systems. The algorithm is based on the memory principle of fractional order derivatives and has no restriction

Advanced Control with MATLAB and Simulink

Companion Software

Bandwidth-aware adaptive chirp mode decomposition (BA-ACMD)

A bandwidth segmentation method for bearing fault diagnosis

Biometric modality quality metric validation/evaluation.

An implementation of the validation of a biometric quality metric.

Variational generalized nonlinear mode decomposition (VGMND)

for the time-frequency analysis and decomposition of transient signal and chirp signal

included in the publications as long as the codes are used. Contact Information: Dr. Shiqian ChenState Key Laboratory of Rail Transit Vehicle SystemSouthwest Jiaotong UniversityChengdu, 610031P.R. China

Improved VGNMD

An improved variational generalized nonlinear mode decomposition for separating crossed chirp modes and dispersive modes

Information: Dr. Shiqian ChenState Key Laboratory of Rail Transit Vehicle SystemSouthwest Jiaotong UniversityChengdu, 610031P.R. China Email: chenshiqian@swjtu.edu.cn Mr. Hongbing WangState Key Laboratory of

Adaptive generalized dispersive mode decomposition (AGDMD)

A data-driven approach for nonlinear dispersive component extraction

The matlab codes permit to reproduce some results in the paper: Wang H, Chen S, Zhai W, Adaptive generalized dispersive mode decomposition: A data-driven approach for nonlinear dispersive component

EIS_suite_mk7_JKS_CHEN4010-4020

This is an EIS toolbox currently in beta developed as part of UG thesis work at the University of Colorado Boulder

DavidMercier/NIMS

A Matlab GUI to plot and to analyze (nano)indentation data (obtained with conical indenters)

Epuck2-MATLAB-kernel

Updated by Jiacheng Chen, Sheffield Hallam Univerisy, UK

The original and official code please refer to https://github.com/gctronic/e-puck-library. This kernel is updated by Jiacheng Chen, Sheffield Hallam University, UK. Thanks to Stefano Morgani for his

ACMUB: Median Unbiased Estimation of the AR(p) Model

Approximately median unbiased estimation of the AR(p) model following Andrews and Chen (1994).

This function implements approximately median unbiased (MU) estimation of the AR(p) model following Andrews, D.W.K and H.-Y. Chen (1994), "Approximately Median-Unbiased Estimation of Autoregressive

Extended compact genetic algorithm

iECGA: Integer Extended Compact Genetic Algorithm-Ping-Chu Hung-Ying-Ping Chen

Pattern Recognition and Machine Learning Toolbox

Pattern Recognition and Machine Learning Toolbox

Forward Orthogonal Least Squares

Implementation of Forward Orthogonal Least Squares, also known as Forward Orthogonal Regression, developed by Chen Billings and Luo.

Function "forward_orthogonal_LS" implements FOLS method from Chen, S., Billings, S.A. and Luo, W. (1988) Orthogonal Least Squares Methods and Their Application to Nonlinear System Identification

chenxinfeng4/scalebar

SCALEBAR dragable & resize able

E-G Metric for quantifying clock-drift error in UWB ranging

This is the code for the work Chen H., Dhekne A., A Metricfor Quantifying UWB Ranging Error Due to Clock Drifts.

Make Beeps with Psychtoolbox

Plays a series of short tones as audible stimuli.

Home Networking Basis

M-files for chapters 2-10 and Simulink models for Ethernet and Wireless Ethernet.

SIMULINK^® models (downloadable from the companion website athttp://authors.phptr.com/chen/), Walter Y. Chen covers the technical challenges and implementation of twisted-pair telephone wiring, coax

Fractional Order Extremum Seeking Control

FO-ESC improves the performance of IO-ESC using fractional order operators

c-compiler (to setup a c-compiler in your matlab use mex -setup). For more information please check:1- Hadi Malek, YangQuan Chen, "Fractional Order Power Point Tracking" 2- Hadi Malek, Sara Dadras, YangQuan

The generator of fractal surfaces or images

Please run this demo file to generate three different types of surfaces (1) Fracal surface (2) Sinusoidal surface (3) Random surface

papers:% [1]Y. Chen and H. Yang, Numerical simulation and pattern characterization of% nonlinear spatiotemporal dynamics on fractal surfaces for the whole-heart modeling% applications, European Physical

Typical Sparsity Measures

An introduction of typical sparsity measures (traditional and newly developed) with numerical examples

] B. Chen, D. Song, F. Gu, W. Zhang, Y. Cheng, A.D. Ball, A. Bevan, J. Xi Gu, A full generalization of the Gini index for bearing condition monitoring, Mech. Syst. Signal Process. 188 (2023) 109998

Direct probability integral method (DPIM)

Direct probability integral method (DPIM) is a unified framework for uncertainty propagation analysis, reliability analysis and design.

on GF-discrepancy point selection technique. Main references:[1] G.H. Chen, D.X. Yang, Direct probability integral method for stochastic response analysis of static and dynamic structural systems

Oustaloup-Recursive-Approximation for Fractional Order Differentiators

Oustaloup-Recursive-Approximation for fractional order differentiator.

): 25 -39% [2] D. Xue, Y.Q. Chen and D. Atherton. "Linear feedback control - % analysis and design with Matlab 6.5". Textbook draft. Chapter 9% "Fractional order control - An introduction". PDF

Canonical Correlation analysis-based Fault detection and Process monitoring algorithm

Canonical Correlation analysis-based Fault detection and Process monitoring algorithm

This is a demo of canonical correlation analysis (CCA) - based Fault detection and Process monitoring algorithm, which is used in the paper:Zhiwen Chen, Steven X. Ding, Tao Peng, Chunhua Yang and

cqwva( d,y,x,index_incre,lvl,clip,line_color,face_color,mode , trace_balance )

The fastest wiggle variable area seismic data plotting function after comparison.

drag Line with callback

[set & get& drag] the line in figure, and get its [draggin-callback] as your wish.

skill, but have 4 dragLine.Tips:The "zip" file have a "demo.m" may be helpful.All written by 'classdef' technology.Author:Chen Xinfeng(陈昕枫，华中科技大学)2016-1-12

Multiple curve fitting with common parameters using NLINFIT

Wrapper for NLINFIT which allows simultaneous fitting for multiple data sets with shared parameters.

Notepad++ ‘Function-list’ for Matlab

List-view all functions in your '.m' code in [Notepad++] IDE

mine.-----------------------------------------------------------------------------------------------------------------------------If you like it, you rate it.>>Chen xinfeng>>2016-2-15

2,4,7 DOFs Suspension Model for Simulink

2,4,7 DOFs Suspension Model for Simulink

the mdl files are for:vehicle suspension system with semi-active control I/O 1) 2 DOFs 2) 4 DOFs 3) 7 DOFs Chen,YiChenyi2005@gmail.com27-May-2006

cksajil/Beamfomer

Beamforming Simulation Files

Beamforming Simulation Files Based on the Paper, Gong, Qin, and Yousheng Chen. "Parameter selection methods of delay and beamforming for cochlear implant speech enhancement. " Acoustical Physics 57.4

ODSFMFO

Death Mechanism-Based Moth-Flame Optimization with Improved Flame Generation Mechanism for Global Optimization Tasks

Li,Junhai Zeng,Yangquan Chen,Ge Ma,Guiyun LiuZhifu Li (lizhifu8@163.com), Junhai Zeng (1483061673@qq.com), Ge Ma, Guiyun Liu are with the School of Mechanical and Electrical Engineering,Guangzhou

Heterogeneous Recurrence Analysis Toolbox

Heterogeneous recurrence quantification analysis of Lorenz system

(https://www.mathworks.com/matlabcentral/fileexchange/58250), MATLAB Central File Exchange. Retrieved January 9, 2025.Yang, Hui, and Yun Chen. “Heterogeneous Recurrence Monitoring and Control of Nonlinear Stochastic Processes.” Chaos: An Interdisciplinary

Solution of Fractional Optimal Control Problems

Solution of Fractional Optimal Control Problems using Rational Approximation

Solution of Fractional Optimal Control Problems using Rational Approximation[1] C. Tricaud and Y.Q. Chen: Solving Fractional Order Optimal Control Problems in RIOTS_95 - A General-Purpose Optimal

Extremum Seeking Control (ESC) for Maximum Power Point Tracking (MPPT) of Photo-Voltaic system

Extremum Seeking Control Algorithm is employed to seek the max/min point of nonlinear functions

better efficiency compared to other MPPT algorithms like P&O or IC. For more information regarding the operation of ESC please review1- H. Malek; S. Dadras; Y. Chen, "Performance analysis of fractional

Adaptive Time-Varying Morphological Filtering (ATVMF)

ATVMF can adaptively determine the shape and scale of structural element (SE) according to the inherent characteristics of the signal.

improving the transient feature extraction capability and computational efficiency. Detail introduction are presented in the following paper:B. Chen, D. Song, W. Zhang, Y. Cheng, Z. Wang, A performance

Chirp Signal Compression Simulator (CSCS)

Easily Simulate Chirp Signal Compression of Single/Multiple Range Targets (Without any toolbox).

the near range and targets, check if it can be identified by compressing the combination signal after the matched filter. Thank You,GWgw.chen19@gmail.com

Variational Bayesian Relevance Vector Machine for Sparse Coding

Variational Bayesian Relevance Vector Machine for Sparse Coding

functional disturbance observer (discrete-time linear systems)

Code for my Automaitca(2018) paper

%% This script implements the algorithm for the following work% Su, Jinya, and Wen-Hua Chen. Further results on “Reduced order disturbance% observer for discrete-time linear systems”, Automatica, in

fitExponential.m

Fitting with single exponential curve in the form of: yFit = yInf + (y0-yInf) * exp(-k*(x-x0))

% * yInf: Final steady state% * y0: Initial state% * yFit: Fitted time series% % Last modified on 06/26/2012% by Jing Chen

CFS-toolbox

MatLab toolbox for the computation of Chen-Fliess series.

CFS-toolboxMatLab toolbox for the computation of Chen-Fliess series.

Generalized Generalized Mittag-Leffler function

Generalized Generalized Mittag-Leffler function in four parameters

, pp. 31–49.% Prepared by YangQuan Chen. 09/16/2008% Based on the ml_fun code in Dingyu Xue, YangQuan Chen* and Derek Atherton.% “Linear Feedback Control – Analysis and Design with Matlab”. SIAM Press

SphericalDistributionsRand

The random sample generators for the two spherical distributions: von Mises-Fisher, Watson.

It is the MATLAB codes for generating the random samples from Von-Mises Fisher and Watson distribution. The code is part of the work in the following papers:Chen, Yu-Hui, et al. "Parameter estimation

Grating's factor

calculate sin(n*pi*x)/sin(pi*x)