arXiv (All)
open access
Dynamical Sampling: A Survey
Dynamical sampling refers to a class of problems in which space-time samples are taken from a signal evolving under an underlying dynamical system. The goal is to use these samples to recover relevant information about the system, such as the initial state, the evolution operator, or the sources and
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- Dynamic Spacetime Fluid Theory (FED 2.5): A Consistent Framework for Fractal Density Networks and Galactic Rotation Curves. Consolidated and Verified Version.#118962
- Exact and Efficient Sampling from Dynamic Discrete Distributions with Finite-Precision Weights#173313
- Unbiased sampling from Boltzmann distributions with noisy energies#821168
- Physics-informed Diffusion Generative Model for Time-Series Data Synthesis in Dynamic Systems#444635
- Differentiating through Stochastic Differential Equations: A Primer#1156255
Record · ID 1050785
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive