• Publications
  • Influence
Causal Network Inference Via Group Sparse Regularization
TLDR
This paper addresses the problem of inferring sparse causal networks modeled by multivariate autoregressive (MAR) processes. Expand
  • 114
  • 11
  • PDF
NULLHOC : a MAC protocol for adaptive antenna array based wireless ad hoc networks in multipath environments
TLDR
A medium access control (MAC) protocol for ad hoc networks of nodes with antenna arrays is presented. Expand
  • 81
  • 10
  • PDF
Space–time event sparse penalization for magneto-/electroencephalography
TLDR
This article presents a new spatio-temporal method for M/EEG source reconstruction based on the assumption that only a small number of events, localized in space and/or time, are responsible for the measured signal. Expand
  • 72
  • 9
  • PDF
Random and pseudorandom inputs for Volterra filter identification
TLDR
This paper studies input signals for the identification of nonlinear discrete-time systems modeled via a truncated Volterra series representation. Expand
  • 138
  • 8
Cortical patch basis model for spatially extended neural activity
TLDR
A new source model for representing spatially distributed neural activity is presented. Expand
  • 81
  • 8
  • PDF
Low rank detectors for Gaussian random vectors
  • L. Scharf, B. V. Veen
  • Mathematics, Computer Science
  • IEEE Trans. Acoust. Speech Signal Process.
  • 1 November 1987
TLDR
A constructive procedure is presented for designing low rank detectors which maximize the divergence between hypotheses about the covariance structure of Gaussian signals. Expand
  • 45
  • 8
Canonical Coordinates are the Right Coordinates for Low-Rank Gauss–Gauss Detection and Estimation
TLDR
We show that in Gauss-Gauss detection J-divergence is a function of squared canonical correlations and hence is invariant to nonsingular transformations of the data channels. Expand
  • 27
  • 7
  • PDF
Estimation of Cortical Connectivity From EEG Using State-Space Models
TLDR
A state-space formulation is introduced for estimating multivariate autoregressive (MVAR) models of cortical connectivity from noisy, scalp-recorded EEG. Expand
  • 73
  • 5
  • PDF
Volterra filter equalization: a fixed point approach
  • R. Nowak, B. V. Veen
  • Mathematics, Computer Science
  • IEEE Trans. Signal Process.
  • 1 February 1997
TLDR
We generalize the previously studied local inverse problem to a very broad class of equalization problems. Expand
  • 57
  • 5
...
1
2
3
4
5
...