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- M.A.T. Figueiredo, R. Nowak, S. Wright
- IEEE Journal of Selected Topics in Signal…
- 2007

Many problems in signal processing and statistical inference involve finding sparse solutions to under-determined, or ill-conditioned, linear systems of equations. A standard approach consists in… (More)

- Michael Rabbat, R. Nowak
- Third International Symposium on Information…
- 2004

Wireless sensor networks are capable of collecting an enormous amount of data over space and time. Often, the ultimate objective is to derive an estimate of a parameter or function from these data.… (More)

- M.G. Rabbat, R. Nowak, J.A. Bucklew
- IEEE 6th Workshop on Signal Processing Advances…
- 2005

We study consensus problems in networked systems with unreliable links. Our contributions are two-fold. First, we derive a family of decentralized consensus algorithms for minimizing a sum of convex… (More)

- R. Nowak
- 46th Annual Allerton Conference on Communication…
- 2008

This paper studies a generalization of the classic binary search problem of locating a desired value within a sorted list. The classic problem can be viewed as determining the correct… (More)

- W.U. Bajwa, A. Sayeed, R. Nowak
- 46th Annual Allerton Conference on Communication…
- 2008

Coherent data communication over doubly-selective channels requires that the channel response be known at the receiver. Training-based schemes, which involve probing of the channel with known… (More)

- Amardeep Singh, R. Nowak, Parmesh Ramanathan
- 5th International Conference on Information…
- 2006

This paper investigates data-adaptive path planning schemes for wireless networks of mobile sensor platforms. We focus on applications of environmental monitoring, in which the goal is to reconstruct… (More)

- James Haupt, Rafael Castro, R. Nowak, Gerald L. Fudge, Alex Yeh
- Fortieth Asilomar Conference on Signals, Systems…
- 2006

Compressive sampling (CS), also called compressed sensing, entails making observations of an unknown signal by projecting it onto random vectors. Recent theoretical results show that if the signal is… (More)

The majority of functional magnetic resonance imaging (fMRI) studies obtain functional information using statistical tests based on the magnitude image reconstructions. Recently, a complex… (More)

- R. Nowak
- IEEE Signal Processing Letters
- 1997

This letter develops an optimal, nonlinear estimator of a deterministic signal in noise. The methods of penalized least-squares and cross-validation (CV) balance the bias-variance tradeoff and lead… (More)

- K. Timmermann, R. Nowak
- Conference Record of the Thirty-First Asilomar…
- 1997

Many important phenomena in science and engineering are well modeled as Poisson processes. In some applications, photon imaging, for example, it is of great interest to accurately estimate the… (More)