On the Role of Normalization in Binary Iterative Hard Thresholding for 1-bit Compressed Sensing
A universal, sample-optimal convergence theorem for the original BIHT algorithm is proved and a scalar lower bound is proved showing that any nontrivial corruption pattern, even one that involves only one flipped sign together with one clean sign, forces the iterates to oscillate indefinitely.