orthogonality of signals in data

In a low-research day—it was the site visit from the Moore and Sloan Foundations to the Moore–Sloan Data Science Environment at NYU—I got a few minutes of thinking in over lunch on my variable exposure-time project: In the same way that I can calculate the Cramér–Rao bound on the amplitudes at different frequencies, I can also look at the orthogonality or the mutual information in different frequencies. That is, I can show (I hope) that there is far less strict aliasing in the case of the variable exposure times than there is in the case of the uniform exposure times.