Glücklich kann sich schätzen wer Matlab hat.
Die Listen folgende Quellen für ihre Infos:
[1] Wells, W.M., "Efficient Synthesis of Gaussian Filters by Cascaded
Uniform Filters," IEEE Transactions on Pattern Analysis and Machine
Intelligence, IEEE. Vol. PAMI-8, No. 2 (March 1986).
[2] Rau,R and J.H.McClellan, "Efficient Approximation of Gaussian
Filters," Transactions on Signal Processing, Vol. 45, No. 2 (February
1997).
[3] Papoulis, A, Probability, Random Variables and Stochastic
Processes, McGraw-Hill, 1991, pp. 214-215
Ein kurzer Ausschnitt aus der Beschreibung:
Gaussian filters are important in many signal processing, image
processing, and communication applications. These filters are
characterized by narrow bandwidths, sharp cutoffs, and low overshoots.
A key feature of Gaussian filters is that the Fourier transform of a
Gaussian is also a Gaussian, so the filter has the same response shape
in both the time and frequency domains.
Wer sich damit beschäftigen will, für den ist Matlab incl. Digital
Signal Processing Toolbox eine gute Wahl.