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On computational aspects of certain optimal digital signal processing algorithms

机译:关于某些最佳数字信号处理算法的计算方面

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An increasing complexity of practical problems requires a comparative analysis of the accuracy and effectiveness of optimal methods (and methods close to optimal with respect to their computational characteristics) that exist for the solution of problems in applied and computational mathematics. In many cases we need improvements in methods for the estimation of computational errors. This paper addresses these issues for the optimisation of the accuracy of the numerical evaluation of certain oscillatory integrals. Such integrals occur as an important part of the modelling of optical systems and automatic control systems. They also occur in digital filtering, image recognition, statistical analysis of experimental data and many other problems [2, 4]. The algorithms described in this paper are designed to solve some practical problems in digital signal processing and image recognition. They deal with the case of inaccurate data and provide estimates of accuracy in the solutions.
机译:实际问题的复杂性不断提高,需要对用于解决应用数学和计算数学问题的最优方法(以及就其计算特性而言接近最优的方法)的准确性和有效性进行比较分析。在许多情况下,我们需要改进用于估计计算误差的方法。本文针对优化某些振荡积分数值评估的准确性解决了这些问题。这些积分是光学系统和自动控制系统建模的重要部分。它们还出现在数字滤波,图像识别,实验数据的统计分析和许多其他问题中[2,4]。本文描述的算法旨在解决数字信号处理和图像识别中的一些实际问题。他们处理数据不准确的情况,并提供解决方案准确性的估计。

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