4 accepted papers
It is common to model rapidly varying communication channels by time-varying linear systems. The output of a time-varying linear system can be described by a superposition of time-frequency (delay-Doppler) shifts of the input signal. This paper investigates a novel message transmission scheme over t…
We investigate the impact of having additional information in a form of linear constraints in the channel identification problem. With those constraints taken into account, the problem turns into solving a linear system that is associated with a block matrix where each submatrix is either a Gabor sy…
This paper considers the problem of determining the sparse covariance matrix X of an unknown data vector x by observing the covariance matrix Y of a compressive measurement vector y = Ax. We construct deterministic sensing matrices A for which the recovery of a k-sparse covariance matrix X from m va…
We study support patterns for covariance matrices that appear in the problem of stochastic time-varying channel identification. The problem reduces to solving a linear system that is associated with a matrix in the form of a Kronecker product of a Gabor system matrix with itself, and therefore solva…