… 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. …

… If you have trou‐ble installing them, I recommend using Anaconda or one of the other … The
algorithm in this chapter for generating pink noise is conceptually simple but computationally …

… 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…

… algorithms are the well-known Kalman filter, the Baum-Welch algorithm and the Viterbi
algorithm … be a Gaussian vector with a mean vector mx and a covariance matrix Cx. The random …

… 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 …

… , we investigate the basic linear Gaussian case and … evolves from the digital signal processing
area primarily from … etc.) and fit their parameters from data using optimization techniques [3]…

… of selected SVM algorithms for DSP which are not included … DMGF double modulated Gaussian
function DOA direction of … Understanding is much more important and difficult than fitting, …

… 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 …