指数型整个函数的分解

W. Lawton, J. Morrison
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引用次数: 0

摘要

给定因子的可能先验信息,将具有紧平面支撑的分布分解为卷积积的非线性问题包括盲反卷积和从幅度恢复信号的问题。根据Paley-Wiener-Schwartz定理[1,p. 390],这个问题等价于对指数型的整个函数进行因式分解。此外,关于卷积因子的典型先验信息可以等效地用相应的整个函数来表示。例如,Bochner定理[1,p. 715]暗示了正测度与正定函数之间的对应关系,Plancherel-Polya定理[2,p. 353]以及[3,p. 7]中的结果暗示了具有紧致平面支撑的分布的支撑的凸闭包完全由相应的整个函数在各个方向上的增长率所表征。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Factorizing Entire Functions of Exponential Type
The nonlinear problem of factorizing a distribution having compact planar support as a convolution product given possible a priori information about the factors includes the problems of blind deconvolution and signal recovery from magnitude. By the Paley-Wiener-Schwartz theorem [1, p. 390] this problem is equivalent to factorizing entire functions of exponential type. Moreover, typical a priori information about the convolution factors can be equivalently specified in terms of the corresponding entire function. For example, Bochner’s theorem [1, p. 715] implies the correspondence between positive measures and positive definite functions and the Plancherel-Polya theorem [2, p. 353] together with the result in [3, p. 7] implies that the convex closure of the support of a distribution having compact planar support is completely characterized by the growth rate, in various directions, of the corresponding entire function.
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