A simple algorithm for fitting a Gaussian function [DSP tips and tricks]
H Guo - IEEE Signal Processing Magazine, 2011 - ieeexplore.ieee.org
IEEE Signal Processing Magazine, 2011•ieeexplore.ieee.org
Gaussian functions are suitable for describing many processes in mathematics, science, and
engineering, making them very useful in the fields of signal and image processing. For
example, the random noise in a signal, induced by complicated physical factors, can be
simply modeled with the Gaussian distribution according to the central limit theorem from the
probability theory.
engineering, making them very useful in the fields of signal and image processing. For
example, the random noise in a signal, induced by complicated physical factors, can be
simply modeled with the Gaussian distribution according to the central limit theorem from the
probability theory.
Gaussian functions are suitable for describing many processes in mathematics, science, and engineering, making them very useful in the fields of signal and image processing. For example, the random noise in a signal, induced by complicated physical factors, can be simply modeled with the Gaussian distribution according to the central limit theorem from the probability theory.
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