Fig. 1From: Semi-tensor product-based one-bit compressed sensingIllustration on random hyperplane tessellation in \({\mathbb{R}}^{2}\). a corresponds to homogeneous hyperplanes in which case any two points on a ray from the origin cannot be separated even if one uses all possible hyperplanes. b Corresponds to hyperplanes with random parallel shifts (resulted by random dithers) in which case we can approximate distances between signalsBack to article page