It is known that sparse recovery by measurements from random circulant matrices provides good recovery bounds. We generalize this to measurements that arise as a random orbit of a group representation for some finite group G. We derive estimates for the number of measurements required to guarantee the restricted isometry property with high probability. Following this, we present several examples highlighting the role of appropriate representation-theoretic assumptions.
翻译:已知,利用随机循环矩阵的测量进行稀疏恢复可提供良好的恢复界。我们将此推广至源于某有限群G的群表示之随机轨道的测量。我们推导了保证高概率下受限等距性质所需的测量数量估计。随后,我们通过若干算例,阐释了恰当的表示论假设所起的关键作用。