Git commit df844950d49cfa5afdefcaec786c5689d5bcecad by Stefan Gerlach. Committed on 03/04/2016 at 10:19. Pushed by sgerlach into branch 'filter'.
added analysis documentation (including Fourier filter) M +47 -5 doc/index.docbook http://commits.kde.org/labplot/df844950d49cfa5afdefcaec786c5689d5bcecad diff --git a/doc/index.docbook b/doc/index.docbook index 18700a9..a61b348 100644 --- a/doc/index.docbook +++ b/doc/index.docbook @@ -38,7 +38,7 @@ </authorgroup> <copyright> - <year>2007-2015</year> + <year>2007-2016</year> <holder>Stefan Gerlach</holder> </copyright> <copyright> @@ -51,8 +51,8 @@ </copyright> <legalnotice>&FDLNotice;</legalnotice> -<date>2015-03-28</date> -<releaseinfo>3.0</releaseinfo> +<date>2016-04-03</date> +<releaseinfo>3.1</releaseinfo> <abstract> <para> @@ -776,6 +776,48 @@ The menu is only available when a datapicker object is selected on the <guilabel </chapter> +<chapter id="analysis"> + <title>Analysis functions</title> + <para>LabPlot supports the data analysis functions nonlinear curve fitting and Fourier filter. + Both can be applied to any data consisting of x- and y-columns. + The analysis functions can be accessed using the Analysis menu or the context menu of a worksheet.</para> + <para>The newly created curves can be customized (line style, symbol style, etc.) like any x-y-curve.</para> + <sect1 id="fitting"> + <title>Curve fitting</title> + <para> + <!-- Linear and non-linear fits to data, several fit-models are predefined and custom models with + arbitrary number of parameters can be provided --> + Linear and non-linear curve fitting of data can be done with several predefined fit-models + (for instance polynomial, exponential, Gaussian or custom) to data consisting of x- and y-columns + with an optional weigth column. With a custom model any function with unlimited number of parameters + can be used for fitting. The options (number of iterations, tolerance, number of fitted points) can + be used to optimize the fitting result which is displayed in the results text. + </para> + </sect1> + + <sect1 id="filter"> + <title>Fourier filter</title> + <para> + This function can be used to apply a Fourier filter to any data consisting of x- and y-columns. Supported + filter types are: + <itemizedlist> + <listitem><para>Low pass</para></listitem> + <listitem><para>High pass</para></listitem> + <listitem><para>Band pass</para></listitem> + <listitem><para>Band reject (Band block)</para></listitem> + </itemizedlist> + where any of them can have the form + <itemizedlist> + <listitem><para>Ideal</para></listitem> + <listitem><para>Butterworth (order 1 to 10)</para></listitem> + <listitem><para>Chebyshev type I or II (order 1 to 10)</para></listitem> + </itemizedlist> + The cutoff value(s) can be specified in the units frequency (Hertz), fraction (0.0 to 1.0) or index + of the data points. + </para> + </sect1> +</chapter> + <chapter id="digitization"> <title>Curve Tracing</title> @@ -1938,8 +1980,8 @@ needs a lot of work. <para>&LabPlot;</para> <para> -Program copyright © 2007-2015 Stefan Gerlach <email>[email protected]</email> -Program copyright © 2008-2015 Alexander Semke <email>[email protected]</email> +Program copyright © 2007-2016 Stefan Gerlach <email>[email protected]</email> +Program copyright © 2008-2016 Alexander Semke <email>[email protected]</email> </para> <important> _______________________________________________ kde-doc-english mailing list [email protected] https://mail.kde.org/mailman/listinfo/kde-doc-english
