NPY

Raw datasets of PDA10A receiver signals acquired with MSO2024 oscilloscope for Time Difference of Arrival Optical Wireless Positioning measurements.
The data is stored in csv, numpy and pickle format to be easily imported and processed in Python.
The first dataset consists of measurements on a grid without reflections.
The second dataset are identical measurements but with a corner geometry at the fourth receiver creating diffuse reflections.

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This repository contains code to apply the ESPER method to quasi-continuum models of biomolecules exhibiting multiple degrees of freedom, as described in Seitz et al. (2022, IEEE TCI). As inputs into ESPER, detailed instructions are also provided for generating custom synthetic datasets with increasing complexity to mirror known cryo-EM image attributes.

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