Blind Unwrapping of Modulo Reduced Gaussian Vectors: Recovering MSBs from LSBs
Blind Unwrapping of Modulo Reduced Gaussian Vectors: Recovering MSBs from LSBs
We consider the problem of recovering n i.i.d samples from a zero mean multivariate Gaussian distribution with an unknown covariance matrix, from their modulo wrapped measurements, i.e., measurement where each coordinate is reduced modulo Δ, for some Δ > 0. For this setup, which is motivated by quantization and analog-to-digital …