About: Gaussian adaptation   Sponge Permalink

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Gaussian adaptation is designed for the maximization of manufacturing yield due to statistical deviation of component values of signal processing systems. The process uses the theorem of Gaussian adaptation stating that:

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  • Gaussian adaptation
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  • Gaussian adaptation is designed for the maximization of manufacturing yield due to statistical deviation of component values of signal processing systems. The process uses the theorem of Gaussian adaptation stating that:
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  • Gaussian adaptation is designed for the maximization of manufacturing yield due to statistical deviation of component values of signal processing systems. The process uses the theorem of Gaussian adaptation stating that: The theorem is valid for all regions of acceptability and all Gaussian distributions. It may be used by cyclic repetition of random variation and selection (like the natural evolution). In every cycle a sufficiently large number of Gaussian distributed points are sampled and tested for membership in the region of acceptability. The centre of gravity of the Gaussian is then moved to the centre of gravity of the approved points. Thus, the process converges to a state of equilibrium fulfilling the theorem. A solution is always approximate because the centre of gravity is always determined for a limited number of points.
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