50 results

Brainstorm

version 3.4.0.0

by Martin Cousineau

Brainstorm: Open source application for MEG/EEG data analysis

CanlabCore

version 1.0.0

by Tor Wager

Core tools required for running Canlab Matlab toolboxes. The heart of this toolbox is object-oriented tools that enable interactive analysis

Elementary and Ising Cellular Automata

A matlab class that implements a 1-d cellular automata. ECAs are elementary cellular automata. ICAs are ECAs with Ising dynamics incorporated into the deterministic rule dynamics.

fdasrvf

version 3.0

by tetonedge

MATLAB library for elastic functional data analysis

Simple tool for finite element based forward and inverse simulations in electromagnetic brain imaging applications.

EXTRACT-public

version 0.7.3

by Fatih Dinc

EXTRACT is a tractable and robust automated cell extraction tool for calcium imaging, which extracts the activities of cells as time series

YPEA

version 1.1.0.4

by Yarpiz

Yarpiz Evolutionary Algorithms Toolbox (YPEA) is a toolbox to solve optimization problems using Evolutionary Algorithms and Metaheuristics.

Algorithm (ICA)12. Invasive Weed Optimization (IWO)13. Particle Swarm Optimization (PSO)14. Simulated Annealing (SA)15. Teaching-Learning-based Optimization (TLBO)After installing this toolbox, just type 'doc

PowerICA

version 1.0.0.0

by Shahab Basiri

Power Iteration Algorithm for FastICA

This MATLAB package is an implementation of Algorithm 1 proposed in paper below.S. Basiri, E. Ollila and V. Koivunen, "Alternative Derivation of FastICA With Novel Power Iteration Algorithm," in IEEE

Matlab toolbox containing various hyperspectral exploitation algorithms.

Suite2P

version 1.0.0.0

by Marius Pachitariu

Fast, complete two-photon pipeline

Implements Principal Component Analysis (PCA) and Independent Component Analysis (ICA)

This package contains functions that implement Principal Component Analysis (PCA) and Independent Component Analysis (ICA).PCA and ICA are implemented as functions in this package, and multiple

Toolbox for automated sorting of cellular calcium signals from optical imaging data.

This toolbox includes routines for using principal component analysis (PCA) and independent component analysis (ICA) to extract cellular signals from imaging data sets. A full description and

Minimum Spanning Tree

version 1.0.0.0

by Yarpiz

Solution of Minimum Spanning Tree using PSO, ICA and FA in MATLAB

The problem of Minimum Spanning Tree is solved using these algorithms:- Particle Swarm Optimization (PSO)- Imperialist Competitive Algorithm (ICA)- Firefly Algorithm (FA)For more information, see

A structured implementation of Imperialist Competitive Algorithm (ICA) in MATLAB

uses stationary wavelets to enhance independent components analysis artifact removal

%--------------- function [wIC,A,W] = wICA(data,varargin) -----------------%% Performs ICA on data matrix (row vector) and subsequent wavelet% thresholding to remove low-amplitude activity from the

based of http://www.mat.ucm.es/~vmakarov/Supplementary/wICAexample/TestExample.html for Physionet bank

# An example showing the basic usage of the wICA algorithm![ Matlab Console Screenshot](http://s7.picofile.com/file/8387073234/Screenshot_from_2020_02_04_05_27_45.png)Based of

Tools for imaging photoplythysmogram extraction and processing

for extensive testing and improving the code.I would like to thank Dr. Cardoso for posting the jadeR.m script, which I use to implement ICA-based iPPG extraction. REFERENCES[1] Unakafov AM, Moeller S

Enhanced bootstrap method for statistical inference in the ICA model

This MATLAB package is an implementation of the bootstrap methods proposed in paper below.S. Basiri, E. Ollila, V. Koivunen. Enhanced bootstrap method for statistical inference in the ICA model

Matlab code of the Sparse Feature Fidelity (SFF) for perceptual image quality assessment.

Toolbox for the simulation and detection of coevolution in proteins

App for pre-processing, unmixing and classifying compounds of interest in spontaneous Raman scattering datasets.

compounds and create abundance maps.Included unmixing alogrithms: N-FINDR, PPI, FIPPI, VCA, ATGP, ICA, AVmax, AMEE, and MCR-ALS (Beta).For a quick start go to the "Info" tab and select the Quick Start Guide.

INSIDDE THz Toolbox provides various methods for THz image analysis.

Returns impulse response functions (IRF) using Natural Excitation technique with time domain method and frequency domain method

, Ayad, Hae-Bum Yun, and Sami F. Masri. "A Comparative Study of Mode Decomposition to Relate Next-ERA, PCA, and ICA Modes." Model Validation and Uncertainty Quantification, Volume 3. Springer, Cham, 2015

NExT-ERA

version 1.0.0

by Ayad Al-Rumaithi

Natural Excitation Technique (NExT) with Eigensystem Realization Algorithm (ERA)

Next-ERA, PCA, and ICA Modes." Model Validation and Uncertainty Quantification, Volume 3. Springer, Cham, 2015. 113-133.

SparseFastICA for fMRI data analysis

As a blind source separation technique, independent component analysis (ICA) has many applications in functional magnetic resonance imaging (fMRI). Certain types of additional prior information, such

optimization of PI controler of DCmotor speed control by Imperialist competitive algorithm

A Matlab code of the Sparse Feature Fidelity (SFF) for perceptual image quality assessment

A VA Plate Reverb with extensions: dynamic plate dimensions for a pitch-bending effect and dynamic microphones for a flanging effect.

working musician' by Michele Ducceschi and Craig Webb (http://mdphys.org/PDF/icaPLA_2016.pdf).In their implementation it is possible to change the dimensions of the plate, but this does not alter the sound

CONN

version 21.12.28

by Alfonso Nieto-Castanon

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

This is my public repo of all my MATLAB Screen cast codes and other random codes written in MATLAB

PaReLab

version 1.0.0.0

by danny yang

Pattern recognition lab, an image classification toolbox using Knn classifier and corss-validation.

Matlab code for Multi-objective Imperialistic Competetive Algorithm (MOICA).

This Matlab code implements Multi-objective Imperialistic Competetive Algorithm (MOICA) proposed by Zhavat Sherinov and Ahmet Ünveren, 2017. The code is based on Single-objective ICA, but with a lot

Eigensystem Realization Algoirthm with Mode Condensation Algorithm

. 1325.https://stars.library.ucf.edu/etd/1325[4] Al-Rumaithi, Ayad, Hae-Bum Yun, and Sami F. Masri. "A Comparative Study of Mode Decomposition to Relate Next-ERA, PCA, and ICA Modes." Model Validation and Uncertainty Quantification, Volume 3

optimization of PI controler of DCmotor speed control by Imperialist competitive algorithm

Mode shapes identification using principal component analysis

Mode Decomposition to Relate Next-ERA, PCA, and ICA Modes." Model Validation and Uncertainty Quantification, Volume 3. Springer, Cham, 2015. 113-133.

Eigensystem realization algorithm with modal indicators including consistent mode indicator and modal participation factor

ICA Modes." Model Validation and Uncertainty Quantification, Volume 3. Springer, Cham, 2015. 113-133.

Natural Excitation Technique with Eigensystem Realization Algoirthm including Mode Condensation Algorithm

. Masri. "A Comparative Study of Mode Decomposition to Relate Next-ERA, PCA, and ICA Modes." Model Validation and Uncertainty Quantification, Volume 3. Springer, Cham, 2015. 113-133.

application of ICA for optimization of PI controller of dc motor speed control

optimization using Imperialist competitive algorithm of PI controller of a dc motor speed control

Code for colonial competitive algorithm (CCA) also known as Imperialist Competitive Algorithm (ICA)

These files are the MATLAB code for "Imperialist Competitive Algorithm (ICA)" which in some papers is referred by "Colonial Competitive Algorithm CCA".Evolutionary optimization methods, inspired from

nnmf_sca

version 1.0.0.0

by Domenico Gatti

Nonnegative/sparse matrix factorization

can be necessary for the underlying latent components to have a physical interpretation.In standard NNMF we only assume nonnegativity of the factor matrices A and B, and unlike ICA, we do not assume

CIAtah

version 4.0.0

by Biafra Ahanonu

CIAtah is a software package for calcium imaging analysis of one- and two-photon imaging datasets. https://github.com/bahanonu/ciatah

(CELLMax, PCA-ICA, CNMF, CNMF-E, EXTRACT, etc.);manual classification of cells via GUIs;automated cell classification (i.e. CLEAN algorithm, coming soon!);cross-session cell alignment, and more.Includes

This is one part of my IPN toolbox, aiming at the reliability analysis of neuroimaging meaures.

: Complex and reliable. Neuroimage 49(2): 1432-1445.[2]. Zuo XN, Kelly C, Adelstein JS, Klein DF, Castellanos FX, Milham MP. 2010. Reliable Intrinsic Connectivity Networks: Test-Retest Evaluation Using ICA

This is a simple demo code to analysis inductive thermal patterns for defect detection in NDT&E

Mode shapes identification using independent component analysis

This example file shows mode shapes identifcation using independent component analysis (ICA) of 2DOF system subjected to impulse excitation. However it should be taken into account: -The selected

Returns the delay vector given data, embedding dimension and time delay.

This function returns the delay vector given the data, the embedding dimension and the time delay. Useful to use for priming data for use with PCA/ICA, SVD or Chaos Theory Analysis amongst others.

Write secret messages in fMRI data to be uncovered with independent component analysis

uncovered with independent component analysis (ICA).It takes as input a specified message, and an output file name, and outputs a nifti file for decomposition with ICA. Usage is as follows:dummy =