975 results

EEGLAB

version 2020.0

by Arnaud Delorme

A toolbox for processing electrophysiological data

A set of low-level functions and tutorials for analyzing and displaying Earth science data.

dsPIC, PIC32, SAMx2, SAMx5 and SAMx7 support package

An algorithm for manifold learning and dimension reduction.

An EKF_SOC_Estimation function estimates a battery's terminal voltage and state of charge using a second order RC equivalent circuit.

Honey Badger Algorithm: New Metaheuristic Algorithm for Solving Optimization Problems

Rbeast or BEAST is a Bayesian algorithm to detect changepoints and decompose time series into trend, seasonality, and abrupt changes.

Creation and analysis of biochemical constraint-based models: the COBRA Toolbox v3.0

Artificial gorilla troops optimizer: A new nature-inspired metaheuristic algorithm for global optimization problems

ParaMonte

version 1.5.1

by CDSLAB

ParaMonte: Plain Powerful Parallel Monte Carlo MCMC Library for Bayesian optimization in MATLAB, Python, Fortran, C++, C.

Prairie Dog Optimization (PDO) is a new population-based metaheuristic algorithm for solving numerical optimization problems.

The codes of a novel astrophysics-inspired meta-heuristic optimization algorithm, namely Transit Search (TS)

Finite-element-based global DIC method (guarantee global kinematic compatibility and decrease noise by adding regularization penalties).

2D-AL-DIC(Augmented Lagrangian DIC) is a fast, parallel-computing DIC algorithm which also considers global kinematic compatibility.

A collection of functions and classes for astronomy and astrophysics experimental and theoretical research.

Implements the frequency domain form of proper orthogonal decomposition (POD)

A Unified simulation and analysis platform for soft, rigid and hybrid robotic systems

Example of Gerchberg-Saxton iterative phase retrieval algorithm.

Inverse Kinematics MeArm Model using PseudoInverse Jacobian

Examples of iterative phase retrieval algorithms: error reduction, hybrid input output and shrinkwrap algorithms

Finite-element-based global DVC method (guarantee global kinematic compatibility and decrease noise by adding regularization penalties).

A useful adaptive signal processing tool for multi-component signal separation, non-stationary signal processing.

A simple yet general purpose FVM solver for transient convection diffusion PDE

Adaptive Lagrangian Digital Volume Correlation - volumetric displacement and strain measurement based on a hybrid local-global approach

Solve finite horizon multi-stage deterministic decision problems using Dynamic Programming

Medical software for Processing multi-Parametric images Pipelines

A Li-ion battery library written in Matlab Simscape language. Battery models include: TSPMe, TECMD and a few utility components

2 Dimension simulation of Inverse Kinematics 3DOF using Pseudo Inverse Jacobian

Dynamic models of DC motors, (1) separately excited, (2) permanent magnet, (3) shunt-connected and (4) series-connected DC motors.

Peak fitting GUI for Diffraction Data

Learn how to create and run real-time virtual vehicles and Driver-in the-Loop simulators to safely test and validate your new designs.

DeepSqueak

version 3.0.1

by Kevin R Coffey

DeepSqueak v3: Using Machine Vision to Accelerate Bioacoustics Research

A Matlab class for EPANET water distribution simulation libraries

A constrained multi-objective optimizer inspired by lightning and Lichtenberg figures

Toolbox for Parameter estimation, Uncertainty and Sensitivity analysis and Confidence Subcontour box estimation

Jonswap/Pierson-Moskowitz spectrum

Simulation and reconstruction of holograms recorded with plane waves

LiDAR point cloud ground filtering / segmentation (bare earth extraction) method based on cloth simulation.

In this paper, a new stochastic optimization algorithm, called Driving Training-Based Optimization (DTBO), is introduced.

The GBO, inspired by the gradient-based method, uses two main operators: gradient search rule (GSR) and local escaping operator (LEO).

Data-driven Arbitrary Polynomial Chaos Expansion for Machine Learning, Uncertainty quantification andGlobal sensitivity analysis

Electric and hybrid electric aircraft models for component sizing

MATLAB code for Relevance Vector Machine using SB2_Release_200.

Real-Time Innovations (RTI) is the largest software framework provider for Autonomous and Distributed Systems.

Matlab implementation of clustering (i.e., finite mixture models, unsupervised classification).

Fuzzy self-tuning Flying Foxes Optimization for global optimization

Toolbox for simulating optical tweezers

Theory and applications of Fast Subband Adaptive Filtering, including Near Perfect Reconstruction Open Loop Delayless FSAF.

These codes present various examples of engineering optimization and tuning the controllers’ gain.

This folder contains an implementation for the feature selection problem using Binary Multi-Neighborhood Artificial Bee Colony (BMNABC).

xplor

version 1.0.0

by Tony Delobel

Multi-Dimensional Data Visualization

dynamic FDB Selection Method: An improved version Fitness Distance Balance dfDB-MRFO: Improved Manta Ray Foraging Optimizer with dFDB

The package provides functions for Bayesian and segmented IVIM model fitting

These files present output- and state-dependent Riccati equation (OSDRE) for general differential equations and free-floating space robot.

Improved Aptenodytes Forsteri Optimization (IAFO) : Algorithm and applications

CONN

version 22.06.27

by Alfonso Nieto-Castanon

functional connectivity analyses of resting-state or task-based neuroimaging data; CONN toolbox, development version

BedMachine

version 1.30

by Chad Greene

Some tools for working with data from Morlighem et al.'s BedMachine data for Greenland and Antarctica

Compute the statistics, pdf, cdf, inverse cdf and random numbers of the generalized chi-square distribution.

3d-deconvolution, volumetric deconvolution of wavefronts

Technique for Order Preference by Similarity to Ideal Solution for metaheuristics.

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