3 papers
cs.IT2026
The Noisy Quantitative Group Testing Problem
Tenghao Li, Neha Sangwan, Xiaxin Li +1
In this paper, we study the problem of quantitative group testing (QGT) and analyze the performance of three models: the noiseless model, the additive Gaussian noise model, and the…
cs.IT2026
Support Recovery in One-bit Compressed Sensing with Near-Optimal Measurements and Sublinear Time
Xiaxin Li, Arya Mazumdar
One-bit compressed sensing (1bCS) addresses the recovery of sparse signals from highly quantized measurements, retaining only the sign of each linear measurement. In the support re…
cs.IT2025
Noisy Nonadaptive Group Testing with Binary Splitting: New Test Design and Improvement on Price-Scarlett-Tan's Scheme
Xiaxin Li, Arya Mazumdar
In Group Testing, the objective is to identify defective items out of , , by testing pools of items together and using the least amount of tests possible. Recently,…