Peak finding and measurement, 2019

Scripts, functions, and mat files to locate, measure, and fit the peaks and valleys in noisy time-series data sets.

. Determines the position, height, and width of each peak by least-squares curve-fitting. It can find and count over 10,000 peaks per second, and find and measure 1800 peaks per second, in very large signals

Find Peak Value

Help you find peak value from a lot of data.

It's a simple function. Can help you find peak value from a lot of datas. It contains some demos.It's my first time to submit file, thanks for your using.

peaks2 - find peaks in 2D data without additional toolbox

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

Fast and effective 2D peak finding algorithm returning peak locations and values. Accepts 2D arrays as an input (for instance, image acquired with a camera from some optics experiment). Various

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

Satellite Orbit Computation

Modified SGP4 code for GPS interface

Beacon Satellite Propagation Simulation

Simulate satellite beacon signal propagation

Fast 2D peak finder

Find local maxima \ peak positions in noisy 2D arrays

fastpeakfindA simple and fast 2D peak finder. The aim was to be faster than more sophisticated techniques yet good enough to find peaks in noisy data. The code analyzes noisy 2D images and find peaks

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

Nucleus Toolbox

Sound processing for Nucleus cochlear implant systems

Peaks and Dips

Easily allows you to automatically find, plot, and label local maxima (peaks) and local minima on MATLAB

Easily allows you to automatically find, plot, and label local maxima (peaks) and local minima on MATLABThis code requires the MATLAB Signal Processing Toolbox, which can be downloaded here

Snag

A signal analysis toolbox aimed to especially to gravitational wave detection

1D Non-derivative Peak Finder

Up-sample and filter noisy data to find peaks without using derivatives.

, 2013.peakfind(x_data,y_data)peakfind(x_data,y_data,upsam)peakfind(x_data,y_data,upsam,gsize,gstd)peakfind(x_data,y_data,upsam,htcut,'cuttype')peakfind(x_data,y_data,upsam,gsize,gstd,htcut,'cuttype')[xpeaks]=peakfind()[xout,yout,peakspos]=peakfind()This function finds peaks without taking first or second derivatives, rather it uses local slope features in a given data set. The function has four basic modes. Mode 1: peakfind(x_data,y_data) simply

iPeak

Keypress operated interactive peak detector function.

ipeak(DataMatrix,PeakD,AmpT,SlopeT,SmoothW,FitW,xcenter,xrange,MaxError,positions,names)iPeak is a keyboard-operated Interactive Peak Finder for time series data. Expected input forms: ipeak(y); %

Separability filter for detecting circular shape

Detection of circular objects in a given image using Fisher criterion

the Fisher criterion with a circular shape of a mask filter all over the image by sliding window. From the computation of the Fisher criterion, we obtain a separability map where the local peaks are

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.

3-D Ray Trace

3-D Ray Trace function for refractive propagation

IMF for Bearing Fault Diagnosis

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

Automated Failure Boundary Mapping

Demo files from July 21, 2009 webinar

Finding Dominant Peaks and Valleys of an Image Histogram

This function finds dominant peaks and local valleys of an image histogram

This function finds dominant peaks and valleys of an image histogram. Minimum peak distance and averaging filter size can be changed to suit your need. Although, the function is originally written

Hilbert-Huang Transform

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

Peak Interpolation

Estimates the location and magnitude of the peak of a continuous function between samples.

Sometimes it is important to be able to estimate the peak of a sampled continuous function between the samples. This is called subsample peak interpolation and is used in radar, delay estimation, and

Real-Valued Spherical Harmonics

some useful spherical harmonics routines

function valuesf(theta,phi) and the derivativesof f w.r.t theta and phi. Can be usedfor finding peaks of spherical functions[4] implement the spherical harmonics rotation algorithm of Ivanic and Ruedenberg

glerny/Finnee2016

Matlab toolbox for separation techniques hyphenated high resolution mass spectrometry

a software, it is a collection of classes and functions that allow recovering MS scans from mzML files and performed transformation (baseline drift correction, peak picking, centroid algorithms…), As

Localpeaks

Find local peaks or troughs in a vector

NOTE: this function is now available from the IoSR Matlab Toolbox as iosr.dsp.localpeaks. ------------------------- LOCALPEAKS Find local peaks and troughs in a vector SYNTAX peaks =

peakfinder(x0, sel, thresh, extrema, includeEndpoints, interpolate)

Quickly finds local maxima (peaks) or minima (valleys) in a noisy signal.

This function quickly finds local peaks or valleys (local extrema) in a noisy vector using a user defined magnitude threshold to determine if each peak is significantly larger (or smaller) than the

Impulsive Noise Meter

Calculates Impulsive noise metrics for hazardous acoustic noise assessment.

peaks - 1D peak finding without Signal Processing Toolbox

Find peaks in 1D data | Matlab findpeaks equivalent

Peak finding algorithm for essential signal processing. Returns peak amplitudes and locations. Various filters can be selected such as minimal absolute value, threshold above the immediate

Image correspondences using cross-correlation

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

patch of one image, compute its sliding cross-correlation with the other image, and find a peak. This submission supplies a class which implements this method.There are many other ways of finding

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

Visual Bak-Tang-Wiesenfeld Sandpile Model for Matlab

Matlab library to visualize the avalanche and power law characteristics of the sandpile model Edit

Auto Peak Finder & Analyser

Finds peaks, locations, fwhms and area in signal.

Very lean an simple code that automatically finds major peaks, their locations, fwhms and area in a given signal y versus x. Requires no input parameters. The output is a matrix with peaks sorted in

Easy clustering of a vector into groups

Automatic find peaks and associate each point to a peak in a vector

function [peaks,groups,criterion] = peaksandgroups(V,select,display)% -------------------------------------------------------------% Find peaks and link each data point to a peak, in effect

Find peaks (maxima and minima) of a function

This function detects the transition points (maxima and minima) in a function like y = f(x)

function [nmax,maxAt,maxValues,nmin,minAt,minValues] = peak(y,x,threshold,stepsize)This function detects the transition points (maxima and minima) of a function like y = f(x), where x is indpendent

Respiratory Rate Estimation

Algorithms for estimation of respiratory rate from the electrocardiogram and photoplethysmogram

Estimate arrival time of extensional and flexural wave modes

Use wavelet decomposition data to automatically estimate arrival of wave modes in ultrasonic signals

An econometric investigation of the sunspot numbers since the year 1700

Econometric analysis of the properties of sunspot numbers from 1700 through the 22.d century

lpc frame

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

VUS-Voiced/Unvoiced/Silence_Training

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

p Tube Vocal Tract

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

2-D Propagation Code for Bounded Media

2-D Propagation Code for propagation in refractive media over irregular surface.

2-D Propagation Simulation

Simulate Propagation in 2-D

Scintillation Channel Modeling Utilities

A library for scintillation channel modeling applications.

3-D Propagation Code

3-D Propagation simulator for turbulent media

PeroxisomesTool

Package of scripts used to track organelles as described in Valente et al. 2022

Stacked line plot

Stacked line plots from a matrix or vectors

Sinc filter

Apply a near-ideal low- or band-pass filter.

ISO 226:2003 Normal equal-loudness-level contours

Return sound pressure levels of pure tone frequencies at specified loudness level(s).

Gammatone filterbank

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

align=true, fine structure and envelope alignment is applied so that the impulse response peaks occurs at t=0.[bm,env] = gammatoneFast(...) returns the instantaneous envelopes env for each filter.[bm,env,delay

Check whether mex file is compiled for system

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

Modified CMRmap

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

; imagesc(peaks(1000)); colormap(CMRmap(256)); axis image; colorbarREFERENCE[1] Rappaport, C. 2002: "A Color Map for Effective Black-and-White Rendering of Color Scale Images", IEEE Antenna's and Propagation Magazine

Subplot position calculator

Calculate subplot positions by specifying figure margins and axis scaling.

Quantile-quantile plot

Quantile-quantile plot with patch option

Impulse response acoustic information calculator

Calculate RT, DRR, Cte, and EDT for impulse response file

) will be returned for each channel. The function returns a 1xN vector of RTs, where N is the number of channels in the audio file. The function determines the direct sound as the peak of the squared

Find peaks for a given 2D curve.

The code is very simple and needs only two lines of code.

Full call: PeakValues=FindPeaksSimple(x,y,PeakType,Interpolate) INPUT: 1 x: x-values. Vector with numbers. 2 y: y-values. Vector with numbers. Optional values: You may omit all off them or the

Collecting data from RSA6100A

Data import and peak search

MATLAB script which can be used to complete a peak search on a spectrum trace extracted from an RSA6100A Real-Time Spectrum Analyzer. Definable Parameters - Start Frequency- Stop Frequency- RBW

Sub-Sample Peak Fitting 2D

Find sub-sample location of global maximum in a 2-dimensional numerical matrix.

This small contribution is useful in cases where you search for the position of a peak within an intensity matrix (correlation or energy fields) of low resolution. Since this is only a 2nd-order-fit

Xsembles2P

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

Xsembles_2P.m.The algorithm performs the following computations:Read raw video(s).Read external voltage recording file(s).Perform registration (based on animal locomotion).Find active neurons.Get calcium signals.Do

camera-Intrinsic-Validation-Tool

相机内参验证工具APP

Alternative box plot

Draw a box plot with various display options