Image correspondences using cross-correlation

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

2D Finite Element Global Digital Image Correlation (FE-DIC)

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

Augmented Lagrangian Digital Image Correlation and Tracking

2D-AL-DIC(Augmented Lagrangian DIC) is a fast, parallel-computing DIC algorithm which also considers global kinematic compatibility.

Finite Element Global Digital Volume Correlation (FE-DVC)

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

hilbert-huang transform（HHT）

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

lpc frame

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

IMF for Bearing Fault Diagnosis

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

p Tube Vocal Tract

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

iPeak

Keypress operated interactive peak detector function.

Fast Checkerboard Demodulation for digital Schlieren imaging

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

Hilbert-Huang Transform

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

Nucleus Toolbox

Sound processing for Nucleus cochlear implant systems

Continuous Sound and Vibration Analysis

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

mpiv

PIV method in MATLAB

glerny/Finnee2016

Matlab toolbox for separation techniques hyphenated high resolution mass spectrometry

Segmented peak finder findpeaksSG.m

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

PeakSeek

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

peaks2 - find peaks in 2D data without additional toolbox

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

ipf(arg1,arg2,arg3,arg4)

Keyboard operated peak fitting function for time-series signals.

Dielectric characterization by microwave cavity perturbation

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

Signal Optimal Smoothing Techniques

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

Composite_Vocal_Tract_Model

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

Composite Vocal Tract

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

findpeaks2.m

Find all the peaks of a surface excluding NaN.

Spectrogram

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

ACRhyLiCS

Analysis of Cellular Rhythms from Live Cell Screens

GIFT

Group ICA/IVA software (MATLAB)

Bayesian VUS Classifier

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

Ephys Analysis Toolbox

Toolbox for batch analysis of postsynaptic current from neuronal recording

camera-Intrinsic-Validation-Tool

相机内参验证工具APP

Augmented Lagrangian Digital Volume Correlation (ALDVC)

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

VUS-Voiced/Unvoiced/Silence_Training

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

peaks - 1D peak finding without Signal Processing Toolbox

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 for finding peaks from data array

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_lrr

functions required for speech processing exercises

findpeaksInterp

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

findpeaks(ecg_m,no_use,blank)

peak detector for ECG detection

Find the average path from data

Find the average path from scattered data

Calibrated Spectral Analysis

Simple Fourier Spectral Analysis of sound pressure time record.

p_Tube_Vocal_Tract

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

Collecting data from RSA6100A

Data import and peak search

Satellite Orbit Computation

Modified SGP4 code for GPS interface

Three Tube Vocal Tract

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

Isolated Digits Record

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

Cepstrum Computation FIR

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

Zoom Strips Plot

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

Xsembles

Neuronal ensembles extraction tool

Xsembles2P

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

Find inflection points in a data array

returns the indices at which the data reverses direction.

3-D Ray Trace

3-D Ray Trace function for refractive propagation

findAllPeaks

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

2-D Propagation Simulation

Simulate Propagation in 2-D

Scintillation Channel Modeling Utilities

A library for scintillation channel modeling applications.

peakperformance

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

Beacon Satellite Propagation Simulation

Simulate satellite beacon signal propagation

Finding local maxima's and minima's of a curve

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

Find Peaks of the Signal

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

Automated Frequency Domain Decomposition (AFDD)

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

Digital Image Correlation and Tracking

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

Peak picking

Finds peaks or troughs in a vector or 2-D matrix.

pickpeaksPick peaks.Summarypickpeaks is similar to MATLAB's findpeaks in that it returns local peaks and their indices for the input X, but has some advantages It is faster (much faster for large