Maximum-entropy spectrum reconstruction derives much of its power from
its nonlinearity, This nonlinearity causes difficulties in several co
ntexts, however, including computation of multidimensional spectra and
quantification of reconstructed spectra, We describe two methods for
avoiding these difficulties: a ''Constant-lambda'' algorithm for perfo
rming row-wise reconstructions, which uses a fixed weighting of the en
tropy and the experimental constraint in the objective function, and i
n situ error analysis, for calibrating the nonlinearity, These methods
are applied to data from quantitative J-correlation and relaxation ex
periments. (C) 1997 Academic Press.