129 citations · 568 across the 49 of their papers we have counts for
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The Linear Model under Mixed Gaussian Inputs: Designing the Transfer Matrix
John T. Flåm, Dave Zachariah, Mikko Vehkaperä +1
Suppose a linear model y = Hx + n, where inputs x, n are independent Gaussian mixtures. The problem is to design the transfer matrix H so as to minimize the mean square error (MSE)…
Bayesian Estimation with Distance Bounds
Dave Zachariah, Isaac Skog, Magnus Jansson +1
We consider the problem of estimating a random state vector when there is information about the maximum distances between its subvectors. The estimation problem is posed in a Bayes…
Dynamic Iterative Pursuit
Dave Zachariah, Saikat Chatterjee, Magnus Jansson
For compressive sensing of dynamic sparse signals, we develop an iterative pursuit algorithm. A dynamic sparse signal process is characterized by varying sparsity patterns over tim…
Alternating Least-Squares for Low-Rank Matrix Reconstruction
Dave Zachariah, Martin Sundin, Magnus Jansson +1
For reconstruction of low-rank matrices from undersampled measurements, we develop an iterative algorithm based on least-squares estimation. While the algorithm can be used for any…