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Welcome to nstm documentation!
==============================

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**Neural space-time model (NSTM)** is a computational image reconstruction framework that can jointly estimate the scene and its motion dynamics by modeling its spatiotemporal relationship, *without data priors or pre-training*.
It is especially useful for multi-shot imaging systems which sequentially capture multiple measurements and are susceptible to motion artifacts if the scene is dynamic.
Neural space-time model exploits the temporal redundancy of dynamic scenes. This concept, widely used in video compression, assumes that a dynamic scene evolves smoothly over adjacent timepoints.
By replacing the reconstruction matrix, neural space-time model can remove motion-induced artifacts and resolve sample dynamics, from the same set of raw measurements used for the conventional reconstruction.



.. toctree::
   installation
   try_sim
   try_dpc
   load_your_sim_data
   nstm_on_new_system
   source/modules
   :maxdepth: 2
   :caption: Contents:



Indices and tables:
===================

* :ref:`genindex`
* :ref:`modindex`
* :ref:`search`