… Roonizi’s algorithm Roonizi’s algorithm is designed to fit the GF riding on a polynomial
back… welding, fluorescence dispersion, and many others involving digital signal processing. …

… speed and performance of an iterative algorithm. Noticing the unavailability of a … tricks
to develop high-performance initial estimators for the three parameters of a Gaussian function…

… generalized multidimensional Gaussian profile fitting using the … [24] EK Roonizi, “A new
algorithm for fitting a gaussian function … Sun, “An efficient method for fitting gaussian functions,” …

… for fitting Gaussian functions is … algorithm for single Gaussian case. It is found that the
proposed integro-differential method to fit two Gaussian functions is stable and identifies Gaussian …

… methods and algorithms initially … fitted reasonably well either by a Gaussian or some Lorentz
bell-like profile. However, a careful investigation shows that this curve is neither a Gaussian …

… , we submit a new algorithm trying to improve the quality of Gaussian function fitting. It is
also a … Also consider the error after logarithmic operation in (3) and do some tricks, it can be …

… DSP and statistical machine learning are of such wide … Both DSP and statistical machine
learning make use of key … consensus view is that DSP and statistical machine learning should …

… We have attempted to create a resource both for a DSP … a background in DSP, Chapter 2
contains a review of basic theory, … While DSP algorithms are usually developed using floating–…

… fundamental frequency of the singing up by two octaves to fit a violin’s typical register. Next,
we … Active learning of intuitive control knobs for synthesizers using gaussian processes. In …

… of fitting a Gaussian model to an observed function \(y\in \mathrm {L}^1(\mathbb {R}^Q)\). We
assume that the observed function … algorithm has been proposed for multivariate Gaussian …