QWTB is a software toolbox written in M-code and is running in MATLAB or GNU Octave.
It aims for aggregation of high-quality algorithms required for
data processing of sampled measurements.
QWTB consist of data processing algorithms from
different sources, unifying application interface and graphical user interface.

The toolbox gives the possibility to use different data processing algorithms with one
set of data and removes the need to reformat data for every particular algorithm. Toolbox is
extensible. The toolbox can variate input data and calculate uncertainties by means of Monte Carlo
Method (MCM).

Toolbox does not require to modify source code of Algorithms, it usually adapts.

Typical use case: you make a sampling and you want to: get frequency spectra, calculate amplitude
and phase of main sine signal and calculate Allan deviation. But you do not want to search algorithms,
to learn how to use these algorithms and to reformat variables for every one algorithm. Solution? QWTB!

QWTB can help with:

searching of useful algorithms,

learning how to use algorithms,

application of algorithms to a user data.

QWTB has:

standardized format of (input/output) quantities independent on the required algorithm,

standardized use of algorithms,

examples for every implemented algorithm,

full documentation with examples,

integration into LabVIEW - QWTBLVLib

graphical user interface - simple QWTB GUI

ability to variate inputs and calculate uncertainties by means of Monte Carlo Method.

tests for every implemented algorithm.

QWTB is:

easy to use,

open source,

extensible.

Donwload & Source code

QWTB is hosted on GitHub. You can either download the latest release, development version, or take a
look at GitHub webpage, see links on the top of this page.

A LabVIEW library QWTBLVLib was developed to easily integrate QWTB into user projects. For now, the library
requires working copy of MATLAB. In the future a link to the GNU Octave is planned.

Graphical User Interface

A simple QWTB GUI was developed in LABView. It is aimed as an example of QWTBLVLib
implementation. How to install and how to use is shortly presented in following video.

How to cite:

QWTB will be presented on Conference on Precision Electromagnetic Measurements, 10-15 July, 2016