One-Sample PCH-EM Algorithm

Version 1.2.0 (92.4 KB) by Aaron Hendrickson
One-Sample Photon Counting Histogram Expectation Maximization Algorithm (PCH-EM) for characterizing DSERN image sensors.
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Updated 6 Jun 2023

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PCH_EM_demo.mlx presents a full demo of the starting point algorithm (StartingPoint.m) and histogram accelerated PCH-EM algorithm (PCH_EM.m).

Cite As

Aaron Hendrickson (2024). One-Sample PCH-EM Algorithm (https://www.mathworks.com/matlabcentral/fileexchange/121343-one-sample-pch-em-algorithm), MATLAB Central File Exchange. Retrieved .

MATLAB Release Compatibility
Created with R2020a
Compatible with any release
Platform Compatibility
Windows macOS Linux

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Version Published Release Notes
1.2.0

Simplified read noise update equation. Incorporated full log-likelihood into stopping criteria.
1.1.0

Implemented histogram acceleration of PCH-EM algorithm. Also updated the way the starting point method estimates tau to make it more robust.
1.0.0