  In this paper, we provide a new approach to estimating the error of
reconstruction from $\Sigma\Delta$ quantized compressed sensing measurements.
  Our method is based on the restricted isometry property (RIP) of a certain
projection of the measurement matrix.
  Our result yields simple proofs and a slight generalization of the best-known
reconstruction error bounds for Gaussian and subgaussian measurement matrices.
