Time Series Plot

A command-line peak fitting program for time-series signals, written as a self-contained Matlab function in a single m-file. Uses an non-linear optimization algorithm to decompose a complex, overlapping-peak signal into its component parts. The objective is to determine whether your signal can be...

alculate the normalized partial energy sequence (NPES) for a given signal vector X.If a particular transform is capable of capturing the key features of a signal in few coefficients, the NPES will approach unity for relatively quickly.Ref: Percival and Walden, Wavelet Methods for Time Series...

PHPGraphs is a set of graphing classes for php.The basic graph types are line, point, area, and bar. Also, an advanced Time Series graph is included. PHPGraphs supports large numbers of large sized data sets.


Platforms: PHP

R is a language and environment for statistical computing and graphics. R provides a wide variety of statistical (linear and nonlinear modelling, classical statistical tests, time-series analysis, classification, clustering, ...) and graphical techniques, and is highly extensible. The S...


Platforms: Mac

Matlab implementation of the computer model of atrial fibrillation originally published by Gordon Moe and colleagues in [American Heart Journal 1964; 67(2):200-220.] To run the simulation, just type the function name (afib). It accepts no input or output arguments. Several model parameters can be...


Platforms: Matlab

Data stored column-wise in an input matrix are normalized as time series, with options to output just the normalized data, or the norm of each column as well. Fast, uses no loops.


Platforms: Matlab

Function calculates window cross-similarity between time series of threshold crossings for selected window span. Correlation between high temporal resolution records aggregated over time for records of original resolution.More informationhttp://www.ida.liu.se/~agbur/Software.htm


Platforms: Matlab

AutoSmooth is a compiled stand-alone graphical interface for signal and derivative extraction from time series with nonstationary noise structure. AutoSmooth is now part of the Signal Extraction Toolbox (SET).


Platforms: Windows, Mac, Linux

A PHP library for creating time series charts. This library was developed for the PgMonitor and OpenStats projects, but it's possible to use it separately.


Platforms: Windows, Mac, Linux

Suppose that you have a signal Y (Y can be a time series, a parametric surface or a volumetric data series) corrupted by a Gaussian noise with unknown variance. It is often of interest to know more about this variance. EVAR(Y) thus returns an estimated variance of the additive noise.EVAR provides...


Platforms: Matlab

Mathematically simple, quickly- computable resolution enhancement for time-series signals consisting of partially overlapping peaks. It is based on subtracting the scaled, smoothed 2nd derivative and adding the scaled, smoothed 4th derivative to the original signal. The algorithm can be...


Platforms: Matlab

Sorts input matrix of data so that each column is re-ordered byuser-specified criteria. Options are (1) sort data by signal width (2)sort data by energy localization (3) sort data by dissimilarity ofdata to a normal probability distribution. The default option is toreturn all 3 options, as...


Platforms: Matlab

Tired of adding "To Workspace" or Display blocks when debugging your models?In this case, SIMLOG is for you. Select which signals to log, either individually or complete subsystems. After execution of the model, signals can quickly be inspected by selecting the signal in the model and click the...


Platforms: Matlab

This user interface allows a user to load some Affymetrix data in an Excel file and perform some basic operations on it - log transform, log ratio, normalization, noise reduction, filtering, PCA and clustering, in addition to some visualizations like profile plots, boxplots and matrix...


Platforms: Matlab

PHPGraphs is a set of graphing classes for php.The basic graph types are line, point, area, and bar. Also, an advanced Time Series graph is included. PHPGraphs supports large numbers of large sized data sets.


Platforms: PHP

R is a language and environment for statistical computing and graphics. R provides a wide variety of statistical (linear and nonlinear modelling, classical statistical tests, time-series analysis, classification, clustering, ...) and graphical techniques, and is highly extensible. The S...


Platforms: Linux

BioImageXD - free open source software for analysis, processing and 3D rendering of multi dimensional, multi data channel, time series image data from microscopy and other sources. Features . 3D rendering of biological images . image processing and analysis . segmentation with ITK ....


Platforms: *nix

A peak fitting program for time-series signals, written as a self-contained function in a single m-file. Uses an non-linear optimization algorithm to decompose a complex, overlapping-peak signal into its component parts. The objective is to determine whether your signal can be represented as the...


Platforms: Matlab

Where several instruments record a time-series of data with a common time record, quality control and despiking of the data is often linked between the instruments. This function allows a variable number of datasets (with a common time record) to be plotted and scrolled through. Bad data can be...


Platforms: Matlab

AMI computes and plots average mutual information (ami) and correlation of univariate or bivariate time series for different values of time lag.USAGE: [amis corrs] = ami(xy,nBins,nLags)INPUT: xy: either univariate (x) or bivariate ([x y]) time series data. If bivariate time series are given then...


Platforms: Matlab