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What is Robust Phase-Filtered D2NN Design about?

The research article presents a phase-filtered diffractive deep neural network (PF-D2 NN) designed to enhance the robustness of diffractive deep neural networks against alignment errors in multi-plane modulation systems. The PF-D2 NN incorporates a phase filtering operator during phase optimization and utilizes a specialized back-propagation algorithm, demonstrating superior performance in maintaining image clarity even with significant misalignment. Experimental results confirm that the PF-D2 NN outperform

Author

Bob Rocky

Language

EN