Time Series Vector

Mackey-Glass Time Series Forecasting using Wang-Mendel Method Platforms: Matlab

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

Zaitun Time Series is software designed for statistical analysis of time series data. It provides easy way for time series modeling and forecasting. Zaitun Time Series provides several statistics and neural networks models, and graphical tools that will make your work on time series analysis... Platforms: Windows

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

This a very simple function that produces a condensed, approximate version of the time-series signal y, with each group of n adjacent points in y replaced by its average. You can use this to condense over-sampled signals so that subsequent processing will be easier and faster. Or you can use it... Platforms: Matlab

Measures of Analysis of Time Series (MATS) toolkit computes a number of different measures of analysis of scalar time series (linear, nonlinear and other statistical measures). It also contains pre-processing tools (transformations and standardizations), data splitting facility, resampled data... Platforms: Matlab

When drawing financial time series from various markets, one usually needs to make some adjustments before evaluating the series. One of the major concerns is that due to different national holidays or working days across countries, the dates happen to be not synchronized. Clearly this could make... Platforms: Matlab

SIXDOFVM Calculate aircraft variable-mass rigid-body six-degrees-of-freedom equations of motion using MATLAB ODE45 solver. =-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-= Inputs: =-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-= Forces = 3x1 vector of forces in body coordinates Moments = 3x1 vectory of... Platforms: Matlab

SIXDOF Calculate aircraft fixed-mass rigid-body six-degrees-of-freedom equations of motion using MATLAB ODE45 solver. =-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-= Inputs: =-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-= Forces = 3x1 vector of forces in body coordinates Moments = 3x1 vectory of moments... Platforms: Matlab

4 files are included in the package:(1) fs01.m - the 1st-order local linear approximation (LLA) very similar to algorithm by Farmer and Sidorowich (1987). Uses constrained linear least squares (lsqlin) and(2) ts1.m - to reconstruct the vectors of the state space.(3) Example.m - runs fs01 and ts1... Platforms: Matlab

Cricket project is a high performance, extremely flexible system for monitoring trends in time-series data. Cricket was expressly developed to help network managers visualize and understand the traffic on their networks, but it can be used all kinds of other jobs, as well. Cricket has two... Platforms: *nix

Gait-CAD is a handy Matlab toolbox designed to assist you with the visualization and analysis of time series and features with a special focus to data mining problems including classification, regression, and clustering. Platforms: Windows

Chronoscope is a visualization platform under development at Timepedia for time series datasets. Chronoscope stems from a desire for responsiveness and interactivity when navigating or authoring datasets. Features:- Support for very large datasets (~20,000 points) - Multiresolution representation... Platforms: Windows, Mac, *nix, JavaScript, BSD Solaris

Dilates a time series input and resizes it to the orignal sample lengthinput. If a matrix is input, dilation is done along columns. % The up/downsampling is done via resample.m, so low-pass filtering of theup/downsampling is automatically implemented. An anti-alaising, lowpassfilter is applied to... Platforms: Matlab

[h,varargout]=plotColumns(data,varargin)plots columns of a matrix as if each column is a time seriesUSAGE:plotColumns(data);[h] = plotColumns(t,data);[h] = plotColumns(t,data,{colors});[h] = plotColumns(t,data,'plotopt');[h] = plotColumns(...,'plotopt');[h] = plotColumns(...,{colors}); Platforms: Matlab

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... 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

GUI for univariate time series modeling and decomposition based on Pandit and Wu (1983) Platforms: Matlab

Plots columns of matrix data as distinct time series. User should normalize data first to minimize overlap. 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