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On Approximating Two Distributions from a Single Complex-Valued Function

On Approximating Two Distributions from a Single Complex-Valued Function
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摘要 We consider the problem of approximating two, possibly unrelated probability distributions from a single complex-valued function and its Fourier transform. We show that this problem always has a solution within a specified degree of accuracy, provided the distributions satisfy the necessary regularity conditions. We describe the algorithm and construction of and provide examples of approximating several pairs of distributions using the algorithm. We consider the problem of approximating two, possibly unrelated probability distributions from a single complex-valued function and its Fourier transform. We show that this problem always has a solution within a specified degree of accuracy, provided the distributions satisfy the necessary regularity conditions. We describe the algorithm and construction of and provide examples of approximating several pairs of distributions using the algorithm.
机构地区 不详
出处 《Applied Mathematics》 2010年第6期439-445,共7页 应用数学(英文)
关键词 PROBABILITY Distribution Sinc APPROXIMATION Cardinal Function FOURIER TRANSFORM WAVELET Probability Distribution Sinc Approximation Cardinal Function Fourier Transform Wavelet

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