ZHU Changyan

Resolution and Robustness Bounds for Reconstructive Spectrometers

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Resolution and robustness bounds for reconstructive spectrometers Aug 17, 2026 Zhu, Changyan, 2026, "Resolution and robustness bounds for reconstructive spectrometers", https://doi.org/10.21979/N9/V6JUBY, DR-NTU (Data), V1 Reconstructive spectrometers are a promising emerging class of devices that combine complex light scattering with inference to enable compact, high-resolution spectrometry. Thus far, the physical determinants of these devices' performance remain under-explored. We show that under...
Bias_term_vs_M_corrected.pdf Aug 17, 2026 - Resolution and robustness bounds for reconstructive spectrometers Adobe PDF - 27.8 KB - MD5: 817feb4da50baf0a955ab5d29805f22c
Bias_term_vs_M_corrected.svg Aug 17, 2026 - Resolution and robustness bounds for reconstructive spectrometers SVG Image - 62.9 KB - MD5: 34dc1cc585e37b65369c7ec124f09788
Bias_term_vs_M.pdf Aug 17, 2026 - Resolution and robustness bounds for reconstructive spectrometers Adobe PDF - 24.0 KB - MD5: 500ae571be88be546a77c219a82cb2e9
Bias_term_vs_M.svg Aug 17, 2026 - Resolution and robustness bounds for reconstructive spectrometers SVG Image - 49.0 KB - MD5: 062ab63a243f9897ff1368c88b8fab0d
correlation_calculation.cpython-310.pyc Aug 17, 2026 - Resolution and robustness bounds for reconstructive spectrometers Unknown - 3.0 KB - MD5: 007829727ec89ab91c63ffcdb125d41c
correlation_calculation.py Aug 17, 2026 - Resolution and robustness bounds for reconstructive spectrometers Python Source Code - 3.9 KB - MD5: 69ed07b3046cdf3295d11433d06a30a9
correlation_function_edited.svg Aug 17, 2026 - Resolution and robustness bounds for reconstructive spectrometers SVG Image - 55.9 KB - MD5: 8611fae1d8b7344a2b35b24ffd3cd415
create_log.py Aug 17, 2026 - Resolution and robustness bounds for reconstructive spectrometers Python Source Code - 2.1 KB - MD5: 311c8a93503a39897ef300ec363fbb5e
Dataset_generation.py Aug 17, 2026 - Resolution and robustness bounds for reconstructive spectrometers Python Source Code - 7.5 KB - MD5: ce508af28e4210338326fa5ed5151b5f

Resolution and robustness bounds for reconstructive spectrometers

Aug 17, 2026

Zhu, Changyan, 2026, "Resolution and robustness bounds for reconstructive spectrometers", https://doi.org/10.21979/N9/V6JUBY, DR-NTU (Data), V1

Reconstructive spectrometers are a promising emerging class of devices that combine complex light scattering with inference to enable compact, high-resolution spectrometry. Thus far, the physical determinants of these devices' performance remain under-explored. We show that under...

Bias_term_vs_M_corrected.pdf

Aug 17, 2026 - Resolution and robustness bounds for reconstructive spectrometers

Adobe PDF - 27.8 KB -

Bias_term_vs_M_corrected.svg

Aug 17, 2026 - Resolution and robustness bounds for reconstructive spectrometers

SVG Image - 62.9 KB -

Bias_term_vs_M.pdf

Aug 17, 2026 - Resolution and robustness bounds for reconstructive spectrometers

Adobe PDF - 24.0 KB -

Bias_term_vs_M.svg

Aug 17, 2026 - Resolution and robustness bounds for reconstructive spectrometers

SVG Image - 49.0 KB -

correlation_calculation.cpython-310.pyc

Aug 17, 2026 - Resolution and robustness bounds for reconstructive spectrometers

Unknown - 3.0 KB -

correlation_calculation.py

Aug 17, 2026 - Resolution and robustness bounds for reconstructive spectrometers

Python Source Code - 3.9 KB -

correlation_function_edited.svg

Aug 17, 2026 - Resolution and robustness bounds for reconstructive spectrometers

SVG Image - 55.9 KB -

create_log.py

Aug 17, 2026 - Resolution and robustness bounds for reconstructive spectrometers

Python Source Code - 2.1 KB -

Dataset_generation.py

Aug 17, 2026 - Resolution and robustness bounds for reconstructive spectrometers

Python Source Code - 7.5 KB -

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