output
20202025
most citedLOCx2-130, a low-power, low-latency, 2 x 4.8-Gbps serializer ASIC for detector front-end readout

2 citations

5 papers

eess.SP2025★ 1 cited

Deploying AI for Signal Processing education: Selected challenges and intriguing opportunities

Jarvis Haupt, Qin Lu, Yanning Shen +5

Powerful artificial intelligence (AI) tools that have emerged in recent years -- including large language models, automated coding assistants, and advanced image and speech generat…

cs.CV2025

Vehicle detection from GSV imagery: Predicting travel behaviour for cycling and motorcycling using Computer Vision

Kyriaki, Kokka, Rahul Goel +7

Transportation influence health by shaping exposure to physical activity, air pollution and injury risk. Comparative data on cycling and motorcycling behaviours is scarce, particul…

physics.ins-det2021

Quality control tests of the front-end optical link components for the ATLAS Liquid Argon Calorimeter Phase-1 upgrade

B. Deng, J. Thomas, L. Zhang +28

We present the procedures and results of the quality control tests for the front-end optical link components in the ATLAS Liquid Argon Calorimeter Phase-1 upgrade. The components i…

physics.ins-det2020★ 2 cited

LOCx2-130, a low-power, low-latency, 2 x 4.8-Gbps serializer ASIC for detector front-end readout

Le Xiao, Quan Sun, Datao Gong +14

In this paper, we present the design and test results of LOCx2-130, a low-power, low-latency, dual-channel transmitter ASIC for detector front-end readout. LOCx2-130 has two channe…

physics.ins-det2020★ 1 cited

The Latency Validation of the Optical Link for the ATLAS Liquid Argon Calorimeter Phase-I Trigger Upgrade

Binwei Deng, Le Xiao, Xiandong Zhao +14

Two optical data link data transmission Application Specific Integrated Circuits (ASICs), the baseline and its backup, have been designed for the ATLAS Liquid Argon (LAr) Calorimet…