non-time domain transformations

Non-time domain transformations operate on alternative representions of a time series where the data is no longer a series of timed values. A common example is to use a Fourier transform to turn the time-series data into frequency bands and then perform subsequent analysis on theis frequency domain data. Another form of non-time domain transformation uses wavelets, which like Fourier series give values at varying time granularity, but have more locality.