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Truncation error estimate on random signals by local average

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (2007) 4488 LNCS(PART 2) 1075-1082
DOI: 10.1007/978-3-540-72586-2_151
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Abstract

Since signals are often of random characters, random signals play an important role in signal processing. We show that the bandlimited wide sense stationary stochastic process can be approximated by Shannon sampling theorem on local averages. Explicit truncation error bounds are given. © Springer-Verlag Berlin Heidelberg 2007.

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He, G., Song, Z., Yang, D., & Zhu, J. (2007). Truncation error estimate on random signals by local average. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 4488 LNCS, pp. 1075–1082). Springer Verlag. https://doi.org/10.1007/978-3-540-72586-2_151

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