A maximum entropy Fourier spectral deconvolution (MEFSD) program capable of selecting
segments of larger spectra is used to deconvolute overlapping peaks in experimental and
synthetic test cases. Low signal-to-noise features in spectra which also have very large
features (dynamic ranges 100: 1, 1000: 1, or more) can be selected for maximum entropy
processing by performing calculations on a pseudo-FID constructed from the selected
region. Results show efficient and powerful deconvolution with simultaneous noise …