18,964 results

Beats MATLAB 300% - 400% in some cases ... really!

MTIMESX is a fast general purpose matrix and scalar multiply routine that has the following features:- Supports multi-dimensional (nD, n>2) arrays directly- Supports Transpose, Conjugate Transpose

MatLab object for segmenting sequences of real-valued data with noise, outliers and missing values.

HandsOn-SEA is a low cost robotic device enabling the students to interact with virtual environments

HandsOn-SEA is a 1-DoF admittance type device that features series elastic actuation. It uses a very a low cost force sensing unit and relies on the force feedback and the motion control of its motor

A small collection of utilities for stripping MATLAB comments from strings and files.

MatLab object for clustering real-valued data with noise, outliers and missing values

Alphanumeric sort of a cell/string/categorical array, with customizable number format.

'a1' 'a10' 'a2' natsort(X) ans = 'a1' 'a2' 'a10'By default NATSORT interprets all consecutive digits as integer numbers, the number substring recognition can be specified using a regular expression

Alphanumeric row sort of a cell/string/categorical/table array, with customizable number format.

To sort any file-names or folder-names use NATSORTFILES: http://www.mathworks.com/matlabcentral/fileexchange/47434-natural-order-filename-sortTo sort the elements of a string/cell array use NATSORT

Solves the eigenproblem kz(omega,kx,ky) and plots the field distributions for allowed modes

Alphanumeric sort of filenames or filepaths, with customizable number format.

' 'a2.txt' 'a10.txt'By default NATSORTFILES interprets all consecutive digits as integer numbers, the number substring recognition can be specified using a regular expression: see NATSORT for

Calculates and plots the photonic bands at constant frequency for a 2D photonic crystal.

The purpose of this code is to compute a specific Dose metric given a DVH with relative dose and relative volume.

*Let me know if you enjoy the code or there is something that needs to be modified*Read the DVH and compute the dose metric (V2%, D98%, D3cc, D98%, D97% and even the Mean lung dose...). The DVH needs

Bayesian algorithm for segmenting real-valued input-output data into non-overlapping segments

Find template Itm in the canny edge image of image Is.

notBoxPlot

Version 1.31.0.0

by Rob Campbell

This function visualizes raw (grouped) data along with the mean, 95% confidence interval, and 1 SD.

name) addresses this problem. The use of the mean instead of the median and the SEM and SD instead of quartiles and whiskers are deliberate. Jittered raw data are plotted for each group. Also shown are

Compression of Motion Capture Data (ASF/AMC format) using Discrete Wavelet Transform

This GUI based code performs the lossy coding of motion capture data stored as ASF/AMC file format. 1) Read the file "0-Readme-Help How to Use the System.pdf"2) Run the script

Testbed for analysis, evaluation and comparison of stereo matching algorithm.

Companion Software

LYAPACK

Version 1.0.0.0

by Volker Mehrmann

LYAPACK toolbox provides solutions for certain large scale problems related to Lyapunov equations.

illustrates the matching behavior of LPC polynomial log magnitude spectrum to log magnitude of STFT

LPC Error

Version 1.4.0.0

by Speech Processing

Shows the (flat spectrum) nature of the LPC error signal for a typical speech frame (voiced speech)

Plots of Harmonic Product Spectrum (HPS) and log HPS of a running sequence of frames.

Computes a correspondence between two shapes based on ant colony optimization (ACO).

This is ridge regression implemented using the Gaussian Kernel.

The Gaussian Kernel can be changed to any desired kernel. However such a change will not dramatically improve results. This is a variant of ridge regression using the kernel trick (Mercers Theorem).

This MATLAB exercise implements a two-band subband coder.

Implementation of a Phase Vocoder (Initial implementation by Prof. Dan Ellis)

Matlab implementation of an MMSE based noise PSD tracking algorithm for speech enhancement.

Measures Edge Detection Using PR and F-Measure

This Program Compares Edge Detection methods ( Canny and Sobel) using Ground Truth of images( BSD images and Ground Truth). Comparison is done using two parameters (PR and F-Measure), Higher the

Hi. Here is a code to compute the convolution of two discrete-time signals x[n] and y[n].

MLRforSSVEPBCI_Demo

Version 1.0.0.0

by Yu Zhang

This demo is to validate the MLR-based method for SSVEP recognition.

AMDF

Version 1.4.0.0

by Speech Processing

This exercise computes the short-time average magnitude difference function (AMDF) of a speech frame

This MATLAB exercise calculates and displays the AMDF of a frame of speech from a designated speech file and implements a pitch detection algorithm based on using the AMDF on a frame-by-frame basis

Fast SVD % function [U,S, V]=rsvd (X, r,q,p) % % usage : % % input: % * X : matrix whose SVD we want % * r : trunction (rank ) for exa

Matrix completion is a widely used technique forimage in-painting and personalized recommended system, etc.In this work, we focus on accelerating the matrix completionusing faster randomized singular

% Read the image img = imread('C:\Program Files (x86)\IMG-20240221-WA0003.jpg'); % Convert the image to grayscale if it's a color image if

original image and the detected edges using Sobel and Prewittfigure;subplot(1, 3, 1);imshow(img);title('Original Image');subplot(1, 3, 2);imshow(edges_sobel);title('Edges Detected (Sobel)');subplot(1, 3

This program allows the conversion from atomic/weight % to weight/atomic % quantities of a system of up to 10 elements.

Step 1: select the elements that make up the system (up to 10)Step 2: input the atomic % (at%) of weight % (wt%) known values.Step 3: click on the 'To at%' or 'To wt%' to convert. The equations used

Add a percent ("%") symbol to the x, y, or both axes

) before using gcapercent.

Creates an N-dimensional sparse array object, for arbitrary N.

dimensions MxNxP...YxZ, then the class will store it internally as an ordinary 2D sparse array of dimensions (M*N*P*...*Y)xZ. This leads to certain memory strains when using large numbers of dimensions. I find

It calculates the % attendace of the 6 students at a time.

Fingerprint matching code using a hybrid descriptor. EER < 1% (approx. 0.75%) on FVC2002 Db1_A.

978-953-307-489-4)Chapter title: Fingerprint Matching using A Hybrid Shape and Orientation DescriptorAuthors: Joshua Abraham, Paul Kwan and Junbin Gao Located

HOUGHCIRCLES detects multiple disks (coins) in an image using Hough Transform.

HOUGHCIRCLES detects multiple disks (coins) in an image using Hough Transform. The image contains separating, touching, or overlapping disks whose centers may be in or out of the image.Syntax

this is a fast multi svm by using tow class svm in matlab ....

this is a fast multi svm by using tow class svm in matlab ....

Root Finding Method (Newton Raphson)

Root Finding Method (Bisection)

Auto generated GUIs for models or subsystems with real time emulation.

Reads the video and saves each frames as a png file

This function spacial_predict does spatial prediction of the input image.

NESim

Version 1.0.0.0

by Chris Eliasmith

General package for large-scale biologically plausible simulations (with GUI).

DateConvert

Version 1.1.0.0

by Jan

Simple but fast date conversion: 1.3% of DATESTR time, 20% of DATEVEC/ DATENUM time

inputs, but in consequence they are slow. If the input format is exactly known, the conversion can be much faster: DATENUM('17-Oct-2009 11:08:23'): 2.97 sec DateConvert('17-Oct-2009 11:08:23', 'number

A function to calculate the cumulative dose-volume histogram (DVH) and DVH parameters from a dose map and binary structure mask.

structure. As long as the underlying dose map remains the same, you can plot the resulting DVHs on top of each other; the dose bins (DVH x-axis) is calculated using the dose map maximum.UseName-value pair

LSP_Roots

Version 1.0.0.0

by Lawrence Rabiner

LSP (Line Spectral Pair) and LPC analysis of roots.

An array signal parameter maximum likelihood estimator variance simulations

Ensemble methods include four strategies which can obtain samples of ensemble individual learners

This application makes 2 layers base Layer and enhancement layer from quantized coefficients

Pretrained AlexNet network model for image classification

net.Layers(1).InputSizeI = I(1:sz(1),1:sz(2),1:sz(3));% Classify the image using AlexNetscores = predict(net, single(I));label = scores2label(scores, classes)% Show the image and the classification

A class for efficient manipulation of N-fold Kronecker products in terms of their operands only.

interpolation/reconstruction:http://www.mathworks.com/matlabcentral/fileexchange/26292-regular-control-point-interpolation-matrix-with-boundary-conditionsAn example involving 2D signal reconstruction using cubic B-splines is provided in the file Example2D.m at the above link.

WindowAPI

Version 1.5.0

by Jan

Set figure size, top-most, transparency and pixel mask, multi-monitor etc by Windows API

transparency (using Java). This submission adds some new features: 1. Maximize a window with or without visible taskbar or menu bar. 2. Set transparency level of figure and stencil-color: pixels of a this color

Try new Beta features including dark theme, updated layout, expanded search capabilities, and more.

report feedback and issues directly to the development teams by using the feedback button in the MATLAB toolstrip.What's new in R2024a Workspace Browser loads MAT file with 50k+ variables 10x more

MATLAB class and Simulink blocks for communicating with an Arduino board

supported.It is recommended that you use Arduino support packages that are developed and supported by MathWorks:MATLAB Support Package for Arduino Hardware: Interactively read, write, and analyze data from

Pretrained ResNet-50 network model for image classification

using ResNet-50scores = predict(net, single(I));label = scores2label(scores, classes)% Show the image and the classification resultsfigureimshow(I)text(10,20,char(label),'Color','white')

% Input - Mean anomaly M [rad] , Eccentricity e and Epsilon % Output - eccentric anomaly E [rad]

Pretrained GoogLeNet network model for image classification

classifyI = imread('peppers.png');% Adjust size of the imagesz = net.Layers(1).InputSizeI = I(1:sz(1),1:sz(2),1:sz(3));% Classify the image using GoogLeNetscores = predict(net, single(I));label =

THis functions convers a avi video file into H.264/AVC video stram andthen reconverts it back.

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