Information compression using a system of differential equations.
Keywords:
system of differential equation, information compression
Abstract
The author replaces the linear equation in n-dimensional space with a system of
differential equations with constant coefficient.
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References
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verse Problems, 23, 969-985.
[6] Candes E.,J., Romberg J., Tao T.:Stable signal recovery from incomplete and
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[2] Gewart M., Skoczylas Z.:Równania różniczkowe zwyczajne. Teoria, przykłady,
zadania. Oficyna Wydawnicza GiS 2016.
[3] http://matlablog.ont.com.pl/rozwiazywanie-rownan-rozniczkowych-matlabie/
[4] Foucart S., Rauhut H.:A mathematical introduction to compressive sensing.
[5] Candes E.,J., Romberg J.:Sparsity and incoherence in compressive sampling. In
verse Problems, 23, 969-985.
[6] Candes E.,J., Romberg J., Tao T.:Stable signal recovery from incomplete and
inaccurate measurements. Comm. Pure Appl. Math., 59 1207-1223.
Published
2020-04-15
How to Cite
Michalkiewicz, J. (2020). Information compression using a system of differential equations. GPH - International Journal of Mathematics, 3(04), 01-02. Retrieved from https://gphjournal.org/index.php/m/article/view/271
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Articles
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