487 results

FRED® REST API support for MATLAB

Supports the creation of a Simulink module, syntactic interfaces, and checking related guidelines.

The tool highlights data/control flow dependencies in Simulink models and performs model slicing.

Interact with the Flywheel API from the client side for search, get, put, and compute.

MATLAB application example for Agilent Infiniium and InfiniiVision oscilloscopes

This software was released by Princeton Satellite Systems, Inc.

Search for k smallest or largest elements in the array

Load map, extract connectivity, plot road network & find shortest paths from OpenStreetMap XML file.

Bible Downloader

version 1.2.1.0

by Rik

Download Bible translations from a GUI

MATLAB scripts for EEG/eye position data analysis

A perceptron-ispired soft classifier of time series based on stigmergic similarity.

Quantitative Magnetic Resonance Imaging Made Easy with qMRLab: Use GUI or CLI to fit and simulate a myriad of qMRI models.

APMonitor Package for implementing Moving Horizon Estimation

Solve large-scale and complex dynamic optimization problems efficiently

Similar interface to linprog but solution with nonlinear programming solvers such as IPOPT

Extract and convert documentation of MATLAB files into various formats (html, etc.).

Benchtop process control experiment with PID controller to maintain temperature of a thermistor.

Ever wish after creating a GOTO block, you could automatically have a corresponding FROM appear?

Any modeling style using Goto/From tags typically involved creating a Goto tag, then dragging a From tag from the Simulink library and re-entering all the information taht was jsut entered into the

In Simulink, automatically names signals and blocks in certain use cases.

Very often in Simulink, it is desireable to have naming consistency between signals and certain blocks like inports, outports, tags, scopes, etc. These functions are examples of scripts that

MATLAB toolbox for reading one or more DICOM series from a directory

reading them and accessing DICOM tags in a consistent manner.Important note: We know from experience that there is a lot of variation in DICOM files and the code may not deal with all DICOM files properly.

Simple ray-tracing engine for Matlab.

Custom target for MBED Cotrollers

Capable of generating 802.11ad Control , SC and OFDM PHY waveforms

cmtdtool can reduce and automate manual operations required to perform model-based testing.

show what side of Smith chart 2 port S parameters input and output circles is stable or unstable

Get data of a Honeywell PHD database.

Implements Immiscible Lattice Boltzmann (ILB, D2Q9) method for two phase flows

"Labeling color 2D digital images in theoretical near logarithmic time"

How to use the Embedded coder with a modular automation system

Goto tag that automatically inherits input signal name as its Name and Tag

When creating a large number of Goto blocks, it can be laborious to update the tags to match the signal names that they connect to. This will automate the task for any number of blocks. Authored by

constraint-reduced predictor-corrector interior point method for semidefinite programming

image stack viewer

Differential and algebraic equation solver for high-index, stiff, and mixed-integer systems.

Files of work “A parallel Homological Spanning Forest framework for 2D topological image analysis”

Read / Write raw Dicom tags with large dictionary, for small file manipulations, like anonymize

There are two main files, "ReadDicomElementList" which will read all tags of a dicom file into a struct and "WriteDicomElementList" which can write them back to a new file.A large dicom dictionary is

Add legend to axes based on values from plot handles Tag property

Instead of adding a legend manually and making sure the colors are consistent, use the 'Tag' property for each plot to separate them. Then use the function add_legend to add a legend. The function

Example code for "Deploy Anywhere" article in "Art of MATLAB" blog.

Another application of the APMonitor Optimization Suite for Model Predictive Control

idqlab

version 1.0.0.0

by Todd Karin

Toolbox for importing data saved by IDQ time tag board and included software

is the ability tocompress time-tag data into a more manageable file size. Thecompression is lossless and reduces the file size by a factor of 10 to15. This compression is provided via the dzip and

Model Predictive Control with discrete, continuous, linear, or nonlinear models.

Video tutorial with basic equations of motion calculations in 2D

Stacked line plots from a matrix or vectors

Produce an array of responses from a fourth-order Gammatone filter via FFT

Calculate subplot positions by specifying figure margins and axis scaling.

Quantile-quantile plot with patch option

Check if mex file is compiled for the OS or if the source was modified since it was compiled.

Produces a colour colormap, of arbitrary length, that is monochrome-compatible.

First order linear system simulation with different tools

Find local peaks or troughs in a vector

Build automatically the IEEE 123 Node Test Feeder and compare simulation to benchmark results

A graphical user control based on the JIDE PropertyGrid that mimics MatLab's property inspector.

Example Kalman Filter, Implicit Dynamic Feedback, Filter Bias Update, and Moving Horizon Estimation

Generate .m script code for any MATLAB variable. If run, the code recreates the input variable.

Create custom dash lines with any sequence of dashes

To provide sample utilities and demonstrate card shuffling and dealing.

Controlling the 4-tank problem using a non linear controller

A one file implementation of Tag-reader for complex Tiff files.

[Info,I] = tiff_read_header( Filename ) inputs, Filename : filename of a Tif/Tiff file outputs, Info : Struct with Tiff tags, or in case of multiple images, cell array with struct for

Parsing and printing tags from your MATLAB source code.

WHAT ARE TAGS?% Use tags in your m-file, like:[..some code..]%! Info: The code is based on H.Foobar, 1984. "On how to implement the following lines properly"% However, I adopted section 4 of this

Fit a dynamic model to experimental data

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