Poisson Image Reconstruction With Hessian Schatten-Norm Regularization
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Interpolation is a vital tool in biomedical signal processing. Although there exists a substantial literature dedicated to noise-free conditions, much less is known in the presence of noise. Here, we document the breakdown of standard interpolation for noi ...
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We analyze some queueing problems arising in guaranteed service and controlled load networks using min-plus algebra. We find an explicit representation for the sub-additive closure of the minimum of two operators, and we introduce a new, useful family of i ...
Interpolation is a vital tool in biomedical signal processing. Although there exists a substantial literature dedicated to noise-free conditions, much less is known in the presence of noise. Here, we document the breakdown of standard interpolation for noi ...
We formulate the tomographic reconstruction problem in a variational setting. The object to be reconstructed is considered as a continuous density function, unlike in the pixel-based approaches. The measurements are modeled as linear operators (Radon trans ...
We consider the problem of optimizing the parameters of a given denoising algorithm for restoration of a signal corrupted by white Gaussian noise. To achieve this, we propose to minimize Stein's unbiased risk estimate (SURE) which provides a means of asses ...
Aggregate scheduling is one of the most promising solutions to the issue of scalability in networks, like DiffServ networks and high speed switches, where hard QoS guarantees are required. For networks of FIFO aggregate schedulers, the main existing suffic ...
We analyze some queueing problems arising in guaranteed service and controlled load networks using min-plus algebra. We find an explicit representation for the sub-additive closure of the minimum of two operators, and we introduce a new, useful family of i ...