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Nonlinear sampling and Lebesgue's integral sums

机译:非线性采样和Lebesgue的积分和

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We consider nonlinear, or "event-dependent", sampling, i.e. such that the sampling instances {tk} depend on the function being sampled. The use of such sampling in the construction of Lebesgue''s integral sums is noted and discussed as regards physical measurement and also possible nonlinearity of singular systems. Though the limit of the sums, i.e. Lebesgue''s integral, is linear with regard to the function being integrated, these sums are nonlinear in the sense of the sampling. A relevant method of frequency detection not using any clock, and using the nonlinear sampling, is considered, in two different versions. The mathematics and the realization arguments essentially complete each other.
机译:我们考虑非线性采样,即“事件相关”采样,即采样实例{t k }取决于所采样的函数。注意到并讨论了在Lebesgue积分和的构造中使用这种采样的方法,这些方法涉及物理测量以及奇异系统的可能非线性。尽管总和的极限(即Lebesgue积分)相对于要积分的函数是线性的,但这些总和在采样意义上是非线性的。在两个不同的版本中,考虑了一种不使用任何时钟和使用非线性采样的频率检测的相关方法。数学和实现论证实质上是相互补充的。

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