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261 to 270 of 3,958 Results

HAST: A Hardware-efficient Spatio-Temporal Correlation Near-Sensor Noise Filter for Dynamic Vision Sensors - Supplementary Material Dec 11, 2024 - Pradeep Kumar GOPALAKRISHNAN Gopalakrishnan, Pradeep Kumar, 2024, "HAST: A Hardware-efficient Spatio-Temporal Correlation Near-Sensor Noise Filter for Dynamic Vision Sensors - Supplementary Material", https://doi.org/10.21979/N9/MRY6XO, DR-NTU (Data), V1 Supplementary Material for the journal paper: "HAST: A Hardware-efficient Spatio-Temporal Correlation Near-Sensor Noise Filter for Dynamic Vision Sensors"
HAST_Filter_TCAS_1_Supplementary_Material.pdf Dec 11, 2024 - HAST: A Hardware-efficient Spatio-Temporal Correlation Near-Sensor Noise Filter for Dynamic Vision Sensors - Supplementary Material Adobe PDF - 716.5 KB - MD5: f0dd8023f4299d02871dd154a4aa562e HAST: A Hardware-efficient Spatio-Temporal Correlation Near-Sensor Noise Filter for Dynamic Vision Sensors - Supplementary Material main file.
Section_C_Filter_resources_computations_comparison.xlsx Dec 11, 2024 - HAST: A Hardware-efficient Spatio-Temporal Correlation Near-Sensor Noise Filter for Dynamic Vision Sensors - Supplementary Material MS Excel Spreadsheet - 278.3 KB - MD5: a06c470eaa73a2cf08312edf20a47bf3 Section C - Filter resources - comparisons of computations.
Section_D_BAF_vs_HAST.xlsx Dec 11, 2024 - HAST: A Hardware-efficient Spatio-Temporal Correlation Near-Sensor Noise Filter for Dynamic Vision Sensors - Supplementary Material MS Excel Spreadsheet - 25.5 KB - MD5: e86b2e0643daf19dda4d98da10fadae6 Section D - BAF vs. HAST memory requirements.
Section_F_4_FPGA_utlization_comparison.xlsx Dec 11, 2024 - HAST: A Hardware-efficient Spatio-Temporal Correlation Near-Sensor Noise Filter for Dynamic Vision Sensors - Supplementary Material MS Excel Spreadsheet - 35.8 KB - MD5: c390cf42ccceb4646bae528520cabbe6 Section F.4 - FPGA utilization comparisons.
Establishing an end-to-end workflow for SNSPD fabrication and characterization Dec 4, 2024 - DONG Shuyu Dong, Shuyu, 2024, "Establishing an end-to-end workflow for SNSPD fabrication and characterization", https://doi.org/10.21979/N9/VH0WLV, DR-NTU (Data), V4, UNF:6:ZqXrI3Ca/BZngk5rlqFQQw== [fileUNF] The outstanding performance of superconducting nanowire single-photon detectors (SNSPDs) has expanded their application areas from quantum technologies to astronomy, space communication, imaging, and LiDAR. As a result, there has been a surge in demand for these devices, that com...
Fig. 1b.tab Dec 4, 2024 - Establishing an end-to-end workflow for SNSPD fabrication and characterization Tabular Data - 40.1 KB - 2 Variables, 3001 Observations - UNF:6:9+WlHvL9A4UHEJEM1lRJXQ==
Fig. 1c.tab Dec 4, 2024 - Establishing an end-to-end workflow for SNSPD fabrication and characterization Tabular Data - 32.9 KB - 3 Variables, 1703 Observations - UNF:6:NnG3HTRzhKDpysxiwuUXlA==
Fig. 1d.tab Dec 4, 2024 - Establishing an end-to-end workflow for SNSPD fabrication and characterization Tabular Data - 18.9 KB - 4 Variables, 902 Observations - UNF:6:9TKJwGPAbVTPQwXW76+v0Q==
Fig. 2a.tab Dec 4, 2024 - Establishing an end-to-end workflow for SNSPD fabrication and characterization Tabular Data - 126 B - 6 Variables, 5 Observations - UNF:6:8+klrLsi1y3ILtperJOMMw==

HAST: A Hardware-efficient Spatio-Temporal Correlation Near-Sensor Noise Filter for Dynamic Vision Sensors - Supplementary Material

Dec 11, 2024 - Pradeep Kumar GOPALAKRISHNAN

Gopalakrishnan, Pradeep Kumar, 2024, "HAST: A Hardware-efficient Spatio-Temporal Correlation Near-Sensor Noise Filter for Dynamic Vision Sensors - Supplementary Material", https://doi.org/10.21979/N9/MRY6XO, DR-NTU (Data), V1

Supplementary Material for the journal paper: "HAST: A Hardware-efficient Spatio-Temporal Correlation Near-Sensor Noise Filter for Dynamic Vision Sensors"

HAST_Filter_TCAS_1_Supplementary_Material.pdf

Dec 11, 2024 - HAST: A Hardware-efficient Spatio-Temporal Correlation Near-Sensor Noise Filter for Dynamic Vision Sensors - Supplementary Material

Adobe PDF - 716.5 KB -

HAST: A Hardware-efficient Spatio-Temporal Correlation Near-Sensor Noise Filter for Dynamic Vision Sensors - Supplementary Material main file.

Section_C_Filter_resources_computations_comparison.xlsx

Dec 11, 2024 - HAST: A Hardware-efficient Spatio-Temporal Correlation Near-Sensor Noise Filter for Dynamic Vision Sensors - Supplementary Material

MS Excel Spreadsheet - 278.3 KB -

Section C - Filter resources - comparisons of computations.

Section_D_BAF_vs_HAST.xlsx

Dec 11, 2024 - HAST: A Hardware-efficient Spatio-Temporal Correlation Near-Sensor Noise Filter for Dynamic Vision Sensors - Supplementary Material

MS Excel Spreadsheet - 25.5 KB -

Section D - BAF vs. HAST memory requirements.

Section_F_4_FPGA_utlization_comparison.xlsx

Dec 11, 2024 - HAST: A Hardware-efficient Spatio-Temporal Correlation Near-Sensor Noise Filter for Dynamic Vision Sensors - Supplementary Material

MS Excel Spreadsheet - 35.8 KB -

Section F.4 - FPGA utilization comparisons.

Establishing an end-to-end workflow for SNSPD fabrication and characterization

Dec 4, 2024 - DONG Shuyu

Dong, Shuyu, 2024, "Establishing an end-to-end workflow for SNSPD fabrication and characterization", https://doi.org/10.21979/N9/VH0WLV, DR-NTU (Data), V4, UNF:6:ZqXrI3Ca/BZngk5rlqFQQw== [fileUNF]

The outstanding performance of superconducting nanowire single-photon detectors (SNSPDs) has expanded their application areas from quantum technologies to astronomy, space communication, imaging, and LiDAR. As a result, there has been a surge in demand for these devices, that com...

Fig. 1b.tab

Dec 4, 2024 - Establishing an end-to-end workflow for SNSPD fabrication and characterization

Tabular Data - 40.1 KB - 2 Variables, 3001 Observations -

Fig. 1c.tab

Dec 4, 2024 - Establishing an end-to-end workflow for SNSPD fabrication and characterization

Tabular Data - 32.9 KB - 3 Variables, 1703 Observations -

Fig. 1d.tab

Dec 4, 2024 - Establishing an end-to-end workflow for SNSPD fabrication and characterization

Tabular Data - 18.9 KB - 4 Variables, 902 Observations -

Fig. 2a.tab

Dec 4, 2024 - Establishing an end-to-end workflow for SNSPD fabrication and characterization

Tabular Data - 126 B - 6 Variables, 5 Observations -

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