Solving the Applied Problem of Random-Dot Images Analysis Using a Multidimensional Extension of Classic Catalan Numbers

A. Reznik, A. Soloviev
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Abstract

The paper introduces the concept of generalized Catalan numbers as a useful tool for solving many theoretical and applied combinatorial-probabilistic problems. Combined with analytical transformation software algorithms, the generalized Catalan numbers simplify the solution of many problems in computer science and applied mathematics. In particular, they turn out to be an effective tool for solving problems related to the registration of random-dot images, in signal transformations of various degrees of smoothness, and when developing speed-optimal algorithms for searching for pulsed-point objects with a random generation time of super short pulses. The proposal of the authors to formulate the problems of enumerative combinatorics in a word-symbolic form naturally leads to multidimensional extensions of the classical Catalan numbers and has several advantages. The combined use of multidimensional Catalan numbers and high-performance computer algebra systems enables solving a number of complex applied problems related to the reliability of the registration of random-dot images.
利用经典加泰罗尼亚数的多维扩展解决随机点图像分析的应用问题
本文介绍了广义加泰罗尼亚数的概念,它是解决许多理论和应用组合-概率问题的有用工具。广义加泰罗尼亚数与分析变换软件算法相结合,简化了计算机科学和应用数学中许多问题的解决。特别是在解决与随机点图像配准有关的问题、各种平滑度的信号变换,以及在开发速度最优算法以搜索超短脉冲随机生成时间的脉冲点对象时,广义加泰罗尼亚数都是一种有效的工具。作者提出的以文字符号形式表述枚举组合学问题的建议,自然会导致经典加泰罗尼亚数的多维扩展,并具有若干优势。结合使用多维加泰罗尼亚数和高性能计算机代数系统,可以解决许多与随机点图像配准可靠性有关的复杂应用问题。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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