Source Coding for a Wiener Process
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Abstract (arXiv)
We develop a novel source coding strategy for sampling and monitoring of a Wiener process. For the encoding process, we employ a four level ``quantization'' scheme, which employs monotone function thresholds as opposed to fixed constant thresholds. Leveraging the hitting times of the Wiener process with these thresholds, we devise a sampling and encoding strategy which does not incur any quantization errors. We give analytical expressions for the mean squared error (MSE) and find the optimal source code lengths to minimize the MSE under this monotone function threshold scheme, subject to a sampling rate constraint.
Key facts. Cited by 1 paper in the map (data through 14 Oct 2026). Builds on 4 of its 15 references that are in the map. First posted on arXiv 2 Apr 2025.
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4 of 15 references.
References · 4
- 2020Age of Information: An Introduction and Surveycited by 70
- 2020Selective Encoding Policies for Maximizing Information Freshnesscited by 1
- 2023Timely Multi-Process Estimation Over Erasure Channels With and Without Feedback: Signal-Independent Policiescited by 1
- 2023The Role of Early Sampling in Age of Information Minimization in the Presence of ACK Delayscited by 1
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Citing papers per year: 2025: 1.
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