1. A system for localizing and characterizing an architectural feature and/or a function of cardiovascular tissue, the system comprising: one or more processors; and a memory having instructions stored thereon, wherein execution of the instructions by the one or more processors causes the one or more processors to: obtain a data set associated with at least one measured physiological signal associated with the tissue; process data within the obtained data set to display, in an image of a three-dimensional representation of the tissue, at least one abnormality associated with the tissue by: creating a phase space diagram based on the data; dividing the phase space diagram into a plurality of regions; and computing one or more space-time density values associated with each region, wherein the one or more space-time density values contain information about non-linear variability of the at least one physiological signal; and link, via one or more learning algorithms, one or more nonlinear nested sinusoidal Gaussian equations to a plurality of locations associated with the tissue based on the one or more space-time density values, each location of the plurality of locations being associated with an architectural feature and/or a function of the tissue to display the at least one abnormality in the image of the three-dimensional representation of the tissue.