6 citations · 10 across the 2 of their papers we have counts for
2 papers
math.OC2012★ 4 cited
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)…
math.ST2011★ 6 cited
Minimum Mean Square Error Estimation Under Gaussian Mixture Statistics
John T. Flam, Saikat Chatterjee, Kimmo Kansanen +1
This paper investigates the minimum mean square error (MMSE) estimation of x, given the observation y = Hx+n, when x and n are independent and Gaussian Mixture (GM) distributed. Th…