3,187 results

The codes implement the Regularized Common Spatial Pattern with Aggregation (R-CSP-A) algorithm.

Matlab source codes for Regularized Common Spatial Pattern with Aggregation (R-CSP-A) %[Algorithm]%The matlab codes provided here implement the R-CSP-A algorithm presented in the paper

Medical software for Processing multi-Parametric images Pipelines

applied to mutiparametric (e.g. MRI T1w + MRI T2w,…), multidimensional (e.g. spatial +temporal+echoes,…) or multimodal (e.g. MRI +CT, …) data. Once defined in a single patient, these processes can be stored

An early version a common spatial patterns (CSP) algorithm.

A vectorized, quick and simple implementation of the CSP algorithm.

The function 'csp' performs a bearable implementation of the Common Spatial Patterns (CSP) algorithm, which consists of a binary data-driven supervised data projection of a signal by maximizing the

EEG brain-computer interface system for providing real-time speech entrainment neurofeedback

2.0.6 (https://www.mathworks.com/matlabcentral/fileexchange/345-tcp-udp-ip-toolbox-2-0-6), MATLAB Central File Exchange. Retrieved November 2019.Brainard, D. H. (1997) The Psychophysics Toolbox, Spatial

Pattern Recognition and Machine Learning Toolbox

This package is a Matlab implementation of the algorithms described in the book: Pattern Recognition and Machine Learning by C. Bishop (PRML).The repo for this package is located at

Toolbox for nonlinear analysis of multivariate time series with ordinal-patterns-based measures

The OPA (ordinal-patterns-analysis) toolbox is intended for nonlinear analysis of multivariate time series with becoming more and more popular ordinal-patterns-based measures [1-5] which are

Features Nth octave band, Hand Arm, and A and C weighting filters

This is a Direct Form 2 Transposed Cascaded Second Order Sections IIR implementation of Filters.

Generate 1/f noise spatial data.

The script generates spatial data with a scale-invariant power spectrum (1/f noise) and a normal error distribution.The spectral density of the data is proportional to f^BETA, where f is the

DeepSqueak v3: Using Machine Vision to Accelerate Bioacoustics Research

Gives the longest common substring between two stings.

Interactive courseware module that addresses common foundational-level concepts taught in signal processing courses.

in the time domain $\bullet$ achieve equivalence between low pass filtering and convolution $\bullet$ define and compute convolution of two 2\-D signals $\bullet$ perform spatial filtering of

Calculates image LBP (Local binary patterns).

The LBP tests the relation between pixel and it's neighbors, encoding this relation into a binary word. This allows detection of patterns/features, while being immune to contrast changes.Current

Replace solid colors with patterns.

Will create a bitmap copy of a figure with distinct colors replaced with hatch patterns. This is useful for b+w bitmap output. Vector output is not supported.

OcTree recursively splits a large set of points into smaller subvolumes. A QuadTree but in 3D.

A MATLAB^® OOP implementation of the Singleton Creational Design Pattern

Design Pattern.Written by Bobby NedelkovskiThe MathWorks Australia Pty LtdCopyright 2009, The MathWorks, Inc.Reference:[1] Gamma, E., Helm, R., Johnson, R. and Vlissides, J. Design Patterns : Elements of

num2strexact does exact conversion of number to string based on IEEE floating point bit pattern

conversion. The conversion uses the exact decimal value of each bit of the IEEE double precision floating point format along with the exact application of 2^exponent. Inf and NaN bit patterns are recognized

Several tutorials in this submission show how to generate HDL from MATLAB code, Simulink models, and Simscape models.

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

valuable spatial and time patterns according to the whole transient response behavior without any training knowledge

CondEn.m computes efficiently conditional entropy of ordinal patterns from 1D time series.

function eCE = CondEn( x, delay, order, windowSize )computes efficiently conditional entropy of ordinal patterns from 1D time series in sliding windows for orders 1...8 of ordinal patterns [1]. See

Model and simulate spatially-defined channels for multi-user MIMO wireless systems

Installer file for WINNER II Channel Model for Communications System ToolboxUsing WINNER II channel models, you can model and simulate spatially-defined channels for multi-user MIMO wireless systems

Consolidates common elements in x (may be n-dimensional), aggregating corresponding y.

Updated code to replace colors in figures with hatching

lines and shapes, and has a wider variety of hatch patterns. applypatch_plus has also been made more efficient and matlab 7ish. It also now can take an image matrix directly, so images can be generated

Exploration of the spatial characteristics of a circular piston with 4D slices.

The codes presented here concern the exploration of the spatial characteristics of a circular piston, i.e. the acoustic (sound) pressure level at every point in front of the transducer (e.g. a

Examples demonstrating contact force modeling in Simscape Multibody

This repository contains a set of examples that demonstrate the Spatial Contact Force block and Planar Contact Force block. The examples cover:Solid-to-solid contact between parameterized solids like

Updated code hatch with color and inverted hatches

Spatial math primitives for MATLAB

Spatial correlation having timesteps

, IndiaDepartment of Earth and Atmospheric SciencesEmail: ankurk017@gmail.com 416AS2025@nitrkl.ac.inFunction: For the spatial correlation between two variables, spatialcorr3 helps us to get on

To process fringe patterns obtained from optical interferometry, fringe projection, SAR, MRI etc.

It helps to draw external common tangents when centers and radii of two circles are inputs.

The function sirkl_tan plots external common tangents of two non-intersecting circles. The radii of two circles is to be given by a vector of non-negative numbers and centers is given by a vector

Strategy Pattern defined by "Gang of Four" in: "Design Patterns: Elements of ...," Gamma, et al.

they provide us with a common language to discuss various programming structures.The GoF define the Strategy Pattern as: Defines a family of algorithms, encapsulates each one, and makes them

It is the basic theory of pattern recognition.

definition of pattern recognition. notes pn approaches of pattern recognition. notes o bayseian's theory used in pattern recognition

The function implements LLBP (Line Local Binary Pattern)

Description The LLBP tests the relation between pixel and its neighbors, encoding this relation into a binary word. This allows detection of patterns/features. The current version uses horizontal

Computes a spatial activity index for images

Efficiently computing distribution and sequence of ordinal patterns from 1D time series

function OPsequence efficiently [1,2] computes distribution and sequence of ordinal patterns from 1D time series indata for the given order and delay (note that only orders = 1…8 are supported in

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

Work with WEB services directly from MATLAB

the only pattern detector you will ever need

Schwarz, Shoelson & Amphlett, Retailers Of Fine MATLAB Cloth Since 1987, proudly announce another piece of visionary software: FPAT - A Fuzzy Pattern DetectorDid you ever listen to a

Integrating spatial fuzzy clustering with level set methods for automated medical image segmentation

level set algorithm is proposed in this paper to facilitate medical image segmentation. It is able to directly evolve from the initial segmentation by spatial fuzzy clustering. The controlling parameters

Generate surface plot of the Airy pattern

Based on the Bessel function of the first kind, it generates the diffraction pattern as surface plot.

This repository contains FPGA/HDL demonstrations several beamforming and radar designs. Simulink models and MATLAB reference code are provid

Fast mesh-mesh intersection based on ray-tri solution. Octree partitioning gives large speed-up.

prohibitive for meshes greater than a few thousand % triangles. The reliance on spatial partitioning using octree subdivision% carries overhead in binning the two input meshes, but is still usually% MUCH faster

Toolbox for designing spectral-spatial RF pulses for MRI and MR spectroscopy applications

This package includes Matlab functions to design spectral-spatial RF pulses (also known as spatial-spectral RF pulses) for application to magnetic resonance spectroscopy and imaging.

This ZIP-file contains the models used in the webinar entitled Stateflow Design Patterns (Part III).

This ZIP-file contains the models used in the webinar entitled Stateflow Design Patterns (Part III). Highlights include the Stateflow Pattern Wizard and continuous-time modeling in Stateflow.

A simple GUIDE with Uicontrols is modified to demonstrate the application of MVC in Matlab.

Model View Controller (MVC) is a compound pattern whose goal is to separate responsibilities into modular pieces that can be interchanged relatively easily. If you didn't need a user interface, all

The present GUI shows the radiation pattern from 3 dipoles in two types of display: linear and polar

RGB triplets for 949 colors, by how they're perceived on a computer monitor and their common names.

an XKCD survey described here: http://blog.xkcd.com/2010/05/03/color-survey-results/ A chart of available colors and their most common names can be found here: http://xkcd.com/color/rgb/SyntaxRGB =

Read tifs > 4GB, predicting data location from precached offset patterns.

page:github.com/dgreenberg/read_patterned_tifdata/

A MATLAB^® OOP implementation of the Iterator Behavioural Design Pattern

Intent: Provide a way to access the elements of an aggregate object sequentially without exposing its underlying representation [1]. This design pattern is also known as Cursor.Motivation: An

Generates spatial data using an AR1 process with normal error distribution.

, periodic spatial pattern, with normal error distribution, and a variance of SIGMA, the command isspatialPatternAR1([10,10],PHI,SIGMA)or equivalently,spatialPatternAR1([10,10],PHI,SIGMA,1)the same pattern

Design patterns for Simulink^® functions inside Stateflow^® (requires R2008b or later)

This ZIP file contains the model files related to Sateflow Design PatternsThese model files contain three different design patterns for modeling Simulink functions inside of Stateflow. The design

Many MATLAB codes for Digital Signal Processing

222Chapter 7: DoA Estimation2397.1 BEAMFORMING AND NULL STEERING2427.2 CONVENTIONAL METHODS FOR DOA ESTIATION2487.3 SUBSPACE METHODS FOR DOA ESTIATION2517.4 SPATIAL SMOOTHING TECHNIQUES 2561Chapter 8

Atomistic Topology Operations in MATLAB (atom), is a MATLAB library for manipulation of (periodic) molecular systems

maximum neighbor cutoff distance```The common theme for the scripts is the use of the MATLAB variable type called struct, which acts as a variable container for the atoms' and molecules' different

Free pattern recognition toolbox for MATLAB

The Pattern Recognition Toolbox (PRT) for MATLAB (tm) is a framework of pattern recognition and machine learning tools that are powerful, expressive, and easy to use. Create a data set from your

Fast check if 2 arrays have a common element

C-Mex: anyEqThis is a simple but fast check, if two arrays contain any common element.The C-Mex is 25% to 60% faster than the equivalent Matlab expression "any(X(:) == y)" and much faster than

Bayesian spatial propensity score matching. This is an update of the original code I made in 2014, now updated to run in MatLab 2020a

Bayesian Spatial Propensity Score Matching (BS-PSM)Rolando Gonzales MartinezUpdated and tested to run on MatLab 2020a (January 2022)In order to run the BS-PSM algorithm you will need: (1) A n x n

Implementation and wrappers of ~40 common pattern recognition algorithms.

Yet ANother pattern recognition toolbox.>>Feature processingzscorePCA, KPCALDA>>ClassificationLogistic regression (LR), softmaxsupport vector machine (SVM)random forest (RF)K nearest

This program recognizes the Hand Gestures of American Sign Language. Previously, it was vastly used for Hand Gesture Recognition projects.

dynamic point pattern similarity measure algorithm which works in conjunction with Keypoint Generation algorithmsFor demonstration purposes, this program recognizes the Hand Gestures of American Sign

Graph-based dimensionality reduction technique for image data

Performs dimensionality reduction and classification of hyperspectral imagery using the Spatial-Spectral Schroedinger Eigenmaps (SSSE) algorithm, as described in the papers:1) N. D. Cahill, W. Czaja