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Nonlinear Filtering and Optimal Phase Tracking

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  • 280pages
  • 10 heures de lecture

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Focusing on stochastic processes, this book provides an analytical framework that bridges probability theory and function space, catering specifically to scientists accustomed to traditional applied mathematics. It aims to enhance accessibility to complex concepts, making it a valuable resource for those in the physical and life sciences seeking to deepen their understanding of probability.

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Nonlinear Filtering and Optimal Phase Tracking, Zeev Schuss

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Année de publication
2014
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