gWaveFilter
Introduction
gWaveFilter allows a user to apply filters to arbitrary datasets and graph the results.
Features
- Filter types: FIR, modified-median and moving average. Also allow ruby scripts for filter implementations.
- Allows filters to be linked in a chain
- Graphing of data sets, including defining X and Y axes and a magnifying glass
Screens
- Filter design: specifies filter type and relevant parameters. Shows preview of working data set.
- Filter chain design: specifies which filters should be chained together and in what order, whether they should be shown on the chart and what color/line style.
- Plot: which data sets should be plotted, which filter chain should be applied, plot window, X and Y axes control (“auto”, “range” and “manual” modes), magnifying glass, peak-to-peak and harmonics are computed and displayed, export data in CSV format.
- Settings: background plot color
Classes
- CFilter: abstract class for filters.
- CFilterChain: container for filters and graphing parameters.
- CPlot: extends Gtk::DrawingArea. Encapsulates datasets, a filter chain and X/Y axes information. The first dataset is given; the others are generated via the filter chain. Contains code for drawing actual plots.
- CAxis: mode, minimum, maximum.
- CDataset: contains code for loading data from a file. Encapsulates datapoints.