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.IT2025
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. From a data compr…
cs.IT2024
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,…