Geometric Series Examples

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...

matGeom is designed to be a Matlab library for geometric computing. Using the functions included in matGeom, you are able to create, transform, manipulate and display geometric primitives (points, lines, polygons, planes, etc.). Typical operations involve creation of shapes, computation of...

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

GeomSpace is a browser for geometric space. You can build your own universe of any dimension and with any geometry. You can choose Euclidean, elliptic (Riemann), hyperbolic (Bolyai-Lobachevsky), Minkowskii among other spaces.


Platforms: Windows

Group of excel spreadsheets organizing outsourcing tasks and prospects.


Platforms: Windows

This is Richard C. Waters' SERIES package for Common Lisp. In a nutshell: Think 'Efficient MAPCAR' SERIES translates functional-style expressions into efficient loops. Series are to loops as control structures are to GOTOs.


Platforms: Windows, Mac, Linux

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

a InstallationUnpack and upload it to the /wp-content/plugins/ directory.Activate the plugin through the 'Plugins' menu in WordPress. Requirements: - WordPress 2.6 or higher


Platforms: Windows, Mac, *nix, PHP, BSD Solaris

A WSC DataGrid Class with examples you can just unzip and run. Nothing to register (unless you want to).


Platforms: ASP.NET

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Platforms: JavaScript

This script takes a series of known named checkboxes and checks or uncheck them all at once.It can even change each checkbox to the opposite checked or not checked value.


Platforms: JavaScript

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

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


Platforms: Matlab

This entry provides functions and examples allowing you to create Simulink.TsArray and Simulink.TimeSeries objects from a script or the MATLAB command line. A Simulink.TsArray object can be used as input data for a bus signal input in Simulink.Note: These functions contain **UNDOCUMENTED**...


Platforms: Matlab

Usage:Jitter = Pn2Jitter(f, Lf, fc)Inputs:f: Frequency vector (phase noise break points), in Hz, row or column.Lf: Phase noise vector, in dBc/Hz, same dimensions, size(), as f.fc: Carrier frequency, in Hz, a scalar.Output:Jitter: RMS jitter, in seconds.Phase noise data can be derived from...


Platforms: Matlab

Digital Signal Processing: Principles and Applications examples and exercises using MATLAB Companion S


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

Aligns matrix entries so that the center of the time series corresponds to the maximum value of the time series.


Platforms: Matlab

This code calculates the generalized Hurst exponent H(q) of a stochastic variable x(t) (a time series) from the scaling of the renormalized q-moments of the distribution/ ~ r^[qH(q)]The value of H(q) give indication about the fractal nature of the signal. H(q) = 0.5 corresponds to a Brownian...


Platforms: Matlab