Time Series Analysis

MayaVi is a free, easy to use scientific data visualizer. It is written in Python and uses the amazing Visualization Toolkit (VTK) for the graphics. It provides a GUI written using Tkinter. Features - An easy to use GUI. - Can be imported as a Python module from other Python programs and can...

Mackey-Glass Time Series Forecasting using Wang-Mendel Method

There are three methods (1, 2 & 3 [Back-propagation]) for forecasting a time series. Here is a collection of MATLAB programming, screen shorts, Fig files giving results. Follow comments in the files to run programs


Platforms: Matlab

SSA generates a trayectory matrix from the original series by sliding a window of length L. The trayectory matrix is aproximated using Singular Value Decomposition. The last step reconstructs the series from the aproximated trayectory matrix. The SSA applications include smoothing, filtering, and...


Platforms: Matlab

Polar Parallel Coordinate Geometry (PPCG) plots standardardised time series data. Colour is used to demonstrate data through time; black being the oldest to white being the newest. 2 - 3 Std deviation warning/action limits are also highlighted by yellow/red respectively.


Platforms: Matlab

FwPlatinum provides real time data analysis of CheckPoint FireWall-1 connection logs. Data is stored for up to 2 years, and is accessed by CGI generated graphs which can drill down to the specific time that you are interested in.


Platforms: Windows, Mac, Linux

StatTrends (formerly "Graph Maker") is a free application for creating interactive charts and graphs. The supported visualizations are: Interactive bar and column charts Interactive scatter plots Interactive time series graphs Interactive bullet graphs All charts and graphs can be animated over...


Platforms: Windows

Marsyas, which stands for Music Analysis, Retrieval and Synthesis for Audio Signals is specially designed to be an Open Source software framework for audio processing. The main goal of the framework is to provide a general, extensible and flexible architecture that allows easy experimentation...


Platforms: Windows

A powerful, easy-to-use modeling and prediction tool designed to support the process of knowledge extraction from data on a highly automated level. KnowledgeMiner is a data mining tool that enables anyone to use its unique form of modeling to quickly visualize new possibilities. It is an...


Platforms: Mac

Please always check http://www.rotman-baycrest.on.ca/~jimmy/NIfTI for detail descriptions and latest updates.If you are confused by the Left / Right of an ANALYZE image, you can consult http://www.rotman-baycrest.on.ca/~jimmy/UseANALYZE.htmYou may also want to read...


Platforms: Matlab

Only in very simple situations can we describe the correlation between two time series as a single number. Often it varies both as a function of time, and of wavelength. Datasets may be uncorrelated on short timescales due to noise, but strongly correlated on larger wavelengths (eg annual).This...


Platforms: Matlab

A set of advanced tools for spectral estimation, decomposing of time series into trend, oscillatory components and noise with sophisticated statistical tests, cross-spectrum and coherence estimation, data compression, as well as reconstruction and prediction. KSpectra Toolkit takes full advantage...


Platforms: Mac

This is a collection of functions I wrote for use of MATLAB with tree-ring time series. Functions are included for skeleton plotting, group time-series plotting, and correlation analysis of seasonal climatic time series with tree-ring indices ("tree-ring response-functions").


Platforms: Matlab

HidroSIG is a GIS that supports raster and vectorial maps with modules oriented to the hydrological analysis, time series, remote sensing and more. It has been made 100% in java using VisAD for data visualization and using MySQL to storage all data.


Platforms: Windows, Mac, Linux

This is a set of functions that allows to test the weak form market efficiency and thus the predictability of the time series returns through various tests: direct and indirect test.The direct tests are the two versions (individual and joint)of the variance ratio of Lo and MacKinlay (1988).The...


Platforms: Matlab

AGTK is a suite of software components for building tools for annotating linguistic signals, time-series data which documents any kind of linguistic behavior (e.g. audio, video). The internal data structures are based on annotation graphs.


Platforms: *nix

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: Windows

Interactive differentiation for time- series signals, with sliders that allow you to adjust the derivative order, smooth width, and scale expansion continuously while observing the effect on your signal dynamically. Run InteractiveDerivativeTest to see how it works. For more information see...


Platforms: Matlab

A MATLAB toolbox for time series analysis using state space models. Supports fully interactive model construction with MATLAB objects and efficient Kalman filter backend implemented in c.


Platforms: Windows, Mac, Linux

Tidal Analysis Program in PYthon (TAPPY) uses the least squares optimization function from scipy to perform a harmonic analysis (calculate amplitude and phases of a set of sine waves) of a hourly time series of water level values.


Platforms: Windows, Mac, Linux