Sample Data Generation Utilities¶

Sparse Model Vectors¶

`sparse_normal_representations`(key, D, K[, S])	Generates a set of sparse model vectors with normally distributed non-zero entries.
`sparse_spikes`(key, N, K[, S])	Generates a set of sparse model vectors with Rademacher distributed non-zero entries.
`sparse_normal_blocks`(key, D, K, B[, S, cor, …])	Generates representations where some blocks have normally distributed coefficients while others are zero.

`random_subspaces`(key, N, D, K)	Generates a set of orthonormal bases for random low dimensional subspaces
`uniform_points_on_subspaces`(key, bases, n)	Generates a set of nk points on the unit sphere of each of the subspaces
`two_subspaces_at_angle`(key, N, D, theta)	Returns ONBs for two subspaces at angle theta with each other
`three_subspaces_at_angle`(key, N, D, theta)	Returns ONBs for three subspaces at angle theta with each other