Abstract: The static MMS spectral reconstruction process is optimized using algorithmic methods. Because the static MMS encodes spectral information across the detector plane in a highly non-local way, optical errors have a non-local effect on the reconstruction which introduces noise and errors at regions throughout the spectral range. Mathematical signal processing techniques are used to condition and de-convolve the spectral image to compensate for non-ideal system behavior. Spectral signal-to-noise and accuracy are both improved, while the inherent resolution and etendue advantages of the static MMS technique are retained.