2 citations · 2 across the 6 of their papers we have counts for
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On the Role of Normalization in Binary Iterative Hard Thresholding for 1-bit Compressed Sensing
Arya Mazumdar, Prateeti Mukherjee
Binary Iterative Hard Thresholding (BIHT) is a simple, yet effective, greedy method for recovering a sparse vector from one-bit sign measurements. In its original form, BIHT perfor…
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…
Robust 1-bit Compressed Sensing with Iterative Hard Thresholding
Namiko Matsumoto, Arya Mazumdar
In 1-bit compressed sensing, the aim is to estimate a -sparse unit vector within an error (in ) from minimal number of linear measurements that are qu…
Improved Support Recovery in Universal One-bit Compressed Sensing
Namiko Matsumoto, Arya Mazumdar, Soumyabrata Pal
One-bit compressed sensing (1bCS) is an extremely quantized signal acquisition method that has been proposed and studied rigorously in the past decade. In 1bCS, linear samples of a…