We develop a nonlinear minimax estimator for the classical linear regression model assuming that the true parameter vector lies in an intersection of ellipsoids. We seek an estimat...
The basic nonlinear filtering problem for dynamical systems is considered. Approximating the optimal filter estimate by particle filter methods has become perhaps the most common a...
We develop the Time Reversal Adaptive Interference Canceler (TRAIC) time reversal beamformer (TRBF), a new algorithm to detect and locate targets in rich scattering environments. ...
This paper derives new soft-decision metrics for coded orthogonal signaling in impulsive noise, more specifically symmetric -stable noise. For the case of a known channel amplitude...
Michael R. Souryal, Erik G. Larsson, Bojan Peric, ...
This paper studies the behavior of the low-rank least mean squares (LMS) adaptive algorithm for the general case in which the input transformation may not capture the exact input s...