81 results

Find matching features in pairs of images using normalised cross-correlation: class file and demo.

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

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.

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

Peak finder for signals containing peaks of widely variable widths.

Segmented peak finder, findpeaksSG.mn, has the same syntax as findpeaksG.m, except the 3rd to 6th input arguments can be vectors with one entry for each segment. function

HHT transform for one-dimensional signal. Contains Empirical mode decomposition (EMD) program.

performs HHT on signal & IMF is plotted for Condition monitoring of vibration based bearing fault

This exercise shows how the method of linear predictive coding (LPC) models a speech frame.

This exercise computes the frequency response of a p-tube model of a human vocal tract.

Track optical distortions in a checkerboard pattern with high accuracy in real-time using the FCD method

Keypress operated interactive peak detector function.

This submission is a realization of the Hilbert-Huang transform (HHT).

with spsnip_gui available at http://www.mathworks.com/matlabcentral/fileexchange/loadFile.do?objectId=11002&objectType=FILE.Essential files: plot_hht.m, emd.m, findpeaks.mAccompanying files: Hum.wav

Sound processing for Nucleus cochlear implant systems

This program analyzes sound and vibrations data using metrics for continuous noise and vibrations.

PIV method in MATLAB

Matlab toolbox for separation techniques hyphenated high resolution mass spectrometry

Find peaks in vector

Specify a vecter, a minimum peak separation, and a minimum peak height, and this function will find the peaks.. about 250 times faster than findpeaks

Find peaks in 2D data just as with Matlab's 'findpeaks' function

filters can be selected such as the minimal absolute value or threshold above the immediate surroundings etc.It mimicks the same syntax as Matlab's own 'findpeaks' function but does not require any

Keyboard operated peak fitting function for time-series signals.

A custom toolbox and example code to measure complex permittivity by microwave cavity perturbation

Plug-in substitute for findpeaks(). Uses parabolas to interpolate to estimate "true" peaks.

findpeaksInterp(): Estimate peaks by parabolic interpolation. Finds the parabola passing through each peak found by findpeaks() and the two neighboring points. Returns the x,y coordinates of the

Producing high- and low-resolution smoothers by means of Spectral Analysis

Illustrates vocal tract response, glottal pulse, radiation response for voiced and unvoiced speech

Find all the peaks of a surface excluding NaN.

Robust pelectrophysiology tools with GPU acceleration

This exercise plots wideband and narrowband speech spectrograms for a user-designated speech file.

Analysis of Cellular Rhythms from Live Cell Screens

Group ICA/IVA software (MATLAB)

This exercise utilizes four programs to train a Bayesian classifier and classify frames of signals.

Toolbox for batch analysis of postsynaptic current from neuronal recording

相机内参验证工具APP

This exercise utilizes four programs to train a Bayesian classifier and classify frames of signals.

Find peaks in 1D data | Matlab findpeaks equivalent

surroundings or predefined minimal spacing between the peaks.It's a replacement for Matlab's proprietary 'findpeaks' function using the same syntax. Does not require any additional Matlab toolbox, just the base

Function helps in finding the peaks more effectively than findpeaks() defined in Matlab library.

I was not able to get the peaks from my experimentally obtained data because of its random nature. As a result the findpeaks() defined in Matlab library was not giving results as expected. Hence I

functions required for speech processing exercises

peak detector for ECG detection

Find the average path from scattered data

Simple Fourier Spectral Analysis of sound pressure time record.

Modified SGP4 code for GPS interface

Simulate satellite beacon signal propagation

Compute impulse and frequency responses of p-tube vocal tract model.

Simple vocal tract model from glottal pulse to radiation at the lips.

Data import and peak search

This exercise computes the frequency response of a three-tube model of a human vocal tract.

Implements a speaker trained, template-based, isolated digit recognizer

This exercise compares three algorithms for computing the complex cepstrum of two finite sequences.

A simple way to visualize and understand speech waveforms by plotting and examination.

Tool to analyze two-photon calcium imaging videos, extract neuronal activity, and identify neuronal ensembles (ONsembles and OFFsembles).

Neuronal ensembles extraction tool

returns the indices at which the data reverses direction.

3-D Ray Trace function for refractive propagation

A library for scintillation channel modeling applications.

Simulate Propagation in 2-D

Find local peaks in a signal

Efficiently finds local maxima in a signal (NlogN time) - these are defined as points in which are the higher than any other point within a specified range.Matlab's "findpeaks" has a slightly

This mfile finds local maxima's and minima's of a curve. The bugs have been fixed in this version.

to find local maxima and minima and is % optional, it has four elements: [x_min x_max y_min y_max]% output: is the xy position of local maxima's and minima's% SEE ALSO findpeaks

Complements find peaks function with the possibility to find all peaks, both local maximums, and local minimums.

Besides complementing find peaks function with the possibility to find all peaks, both local maximums, and local minimums.This also provides a possible workaround for the findpeaks bug pointed out by

Find Peaks of the signal and stores the answer in excel

find peaks program to find peaks i have faced problem in findpeaks.m so i have made my code to find peaks of the signal. it find peaks of the signal from excel file and stores peaks value in excel

Modal parameters identification from ambient vibrations measurement using the FDD

]. For the automated procedure, I am using the peak picking function “pickpeaks” developed by [5] and available in [6], which was much more efficient than the Matlab function "findpeaks" for this purpose

Calculate displacement and strain from a series of images

windows systems so far. Linux Users need to copy cpcorr.m and findpeak.m into their work folder and change it there. After renaming it (e.g. cpcorr2.m) the calling lines should be changed, too, in the