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Approximation of WKS sampling theorem on random signals

机译:WKS采样定理在随机信号上的逼近

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摘要

The WKS sampling theorem is a fundamental result in the field of telecommunication and signal processing. It is a perfect example of the synthesis of traditionally distinct disciplines in mathematics, engineering analysis, and the sciences. The theorem recovers a bandlimited signal from its samples at uniformly points, which purpose is to analyze deterministic functions, or deterministic signals. However, there are a few counterparts of this theorem for random signals so far. This article gives a new WKS sampling principle on random signals from local averages with probability 1.
机译:WKS采样定理是电信和信号处理领域的基本结果。它是数学,工程学分析和科学领域传统独特学科综合的完美范例。该定理从采样点的统一点恢复一个带限信号,其目的是分析确定性函数或确定性信号。但是,到目前为止,该定理还存在一些与随机信号相对应的问题。本文针对概率为1的局部平均值的随机信号给出了一种新的WKS采样原理。

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