We are using the RadCartesianChart component to plot datasets that contain digitized signals from a communications channel. The signals are periodic in nature, and we divide the stream into a series of single period datasets. We will then plot all the datasets on the same RadCartesianChart using a common time reference. The result will be a large number of datasets overlaid on the same Cartesian surface.
So far so good.
Now we want the visual image to use color to show density of the overlaid plots similar to a communications eye diagram as shown below. In that diagram there are 8 million overlaid signals, and the colors encode a density scale allowing visualization of the distribution of discrepancies in the overlaid signals. Is this possible using the RadCartesianChart component? If not directly supported are there mechanisms to customize the plotting to achieve something like this?