I want to compress an array of time series floating point data as much as possible.
Currently the only algorithm I've found for this is XOR compression which works well, but doesn't compress the data enough. What is the highest compression ratio algorithm for relatively smooth time series floating point (double precision) data?
I'm optimizing for compression ratio only, so the runtime complexity of the algorithm doesn't matter (within reason).
EDIT: The compression needs to be lossless.