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cs.IT2020
NBIHT: An Efficient Algorithm for 1-bit Compressed Sensing with Optimal Error Decay Rate
Michael P. Friedlander, Halyun Jeong, Yaniv Plan +1
The Binary Iterative Hard Thresholding (BIHT) algorithm is a popular reconstruction method for one-bit compressed sensing due to its simplicity and fast empirical convergence. Ther…
cs.IT2020
Sub-Gaussian Matrices on Sets: Optimal Tail Dependence and Applications
Halyun Jeong, Xiaowei Li, Yaniv Plan +1
Random linear mappings are widely used in modern signal processing, compressed sensing and machine learning. These mappings may be used to embed the data into a significantly lower…