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- Matthew S. Crouse, Robert D. Nowak, Richard G. Baraniuk
- IEEE Trans. Signal Processing
- 1998

Wavelet-based statistical signal processing techniques such as denoising and detection typically model the wavelet coefficients as independent or jointly Gaussian. These models are unrealistic forâ€¦ (More)

- Stephen J. Wright, Robert D. Nowak, MÃ¡rio A. T. Figueiredo
- IEEE Transactions on Signal Processing
- 2008

Finding sparse approximate solutions to large underdetermined linear systems of equations is a common problem in signal/image processing and statistics. Basis pursuit, the least absolute shrinkageâ€¦ (More)

- MÃ¡rio A. T. Figueiredo, Robert D. Nowak
- IEEE Trans. Image Processing
- 2003

This paper introduces an expectation-maximization (EM) algorithm for image restoration (deconvolution) based on a penalized likelihood formulated in the wavelet domain. Regularization is achieved byâ€¦ (More)

- Waheed Uz Zaman Bajwa, Jarvis D. Haupt, Akbar M. Sayeed, Robert D. Nowak
- Proceedings of the IEEE
- 2010

High-rate data communication over a multipath wireless channel often requires that the channel response be known at the receiver. Training-based methods, which probe the channel in time, frequency,â€¦ (More)

- Laura Balzano, Robert D. Nowak, Benjamin Recht
- 2010 48th Annual Allerton Conference onâ€¦
- 2010

This work presents GROUSE (Grassmanian Rank-One Update Subspace Estimation), an efficient online algorithm for tracking subspaces from highly incomplete observations. GROUSE requires only basicâ€¦ (More)

We pose transductive classification as a matrix completion problem. By assuming the underlying matrix has a low rank, our formulation is able to handle three problems simultaneously: i) multi-labelâ€¦ (More)

- Robert D. Nowak
- IEEE Trans. Image Processing
- 1999

It is well known that magnetic resonance magnitude image data obey a Rician distribution. Unlike additive Gaussian noise, Rician "noise" is signal-dependent, and separating signal from noise is aâ€¦ (More)

- Michael G. Rabbat, Robert D. Nowak
- Third International Symposium on Informationâ€¦
- 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.â€¦ (More)

- Jarvis D. Haupt, Robert D. Nowak
- IEEE Transactions on Information Theory
- 2006

Recent results show that a relatively small number of random projections of a signal can contain most of its salient information. It follows that if a signal is compressible in some orthonormalâ€¦ (More)

- MÃ¡rio A. T. Figueiredo, José M. Bioucas-Dias, Robert D. Nowak
- IEEE Transactions on Image Processing
- 2007

Standard formulations of image/signal deconvolution under wavelet-based priors/regularizers lead to very high-dimensional optimization problems involving the following difficulties: the non-Gaussianâ€¦ (More)