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386,440
Sum Capacity of a Gaussian Vector Broadcast Channel
 IEEE Trans. Inform. Theory
, 2002
"... This paper characterizes the sum capacity of a class of nondegraded Gaussian vectB broadcast channels where a singletransmitter with multiple transmit terminals sends independent information to multiple receivers. Coordinat+[ is allowed among the transmit teminals, but not among the different recei ..."
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Cited by 280 (21 self)
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This paper characterizes the sum capacity of a class of nondegraded Gaussian vectB broadcast channels where a singletransmitter with multiple transmit terminals sends independent information to multiple receivers. Coordinat+[ is allowed among the transmit teminals, but not among the different
Iterative Waterfilling for Gaussian Vector Multiple Access Channels
 IEEE TRANSACTIONS ON INFORMATION THEORY
, 2001
"... This paper characterizes the capacity region of a Gaussian multiple access channel with vector inputs and a vector output with or without intersymbol interference. The problem of finding the optimal input distribution is shown to be a convex programming problem, and an efficient numerical algorithm ..."
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Cited by 309 (12 self)
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This paper characterizes the capacity region of a Gaussian multiple access channel with vector inputs and a vector output with or without intersymbol interference. The problem of finding the optimal input distribution is shown to be a convex programming problem, and an efficient numerical algorithm
BALANCING GAUSSIAN VECTORS
"... Abstract. Let x1,... xn be independent normally distributed vectors on R d. We determine the distribution function of the minimum norm of the 2 n vectors ±x1 ± x2 · · · ± xn. 1. ..."
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Abstract. Let x1,... xn be independent normally distributed vectors on R d. We determine the distribution function of the minimum norm of the 2 n vectors ±x1 ± x2 · · · ± xn. 1.
Simulation of Stationary Gaussian Vector Fields
 Statistics and Computing
"... In earlier work we described a circulant embedding approach for simulating scalarvalued stationary Gaussian random fields on a finite rectangular grid, with the covariance function prescribed. In this sequel, we describe how the circulant embedding approach can be used to simulate stationary Gaussi ..."
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Cited by 16 (1 self)
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Gaussian vector fields. As in the scalar case, the simulation procedure is theoretically exact if a certain nonnegativity condition is satisfied. In the vector setting, this exactness condition takes the form of a nonnegative definiteness condition on a certain set of Hermitian matrices. The main
Graphical gaussian vector for image categorization
 In NIPS. 36 Olga Russakovsky* et al
, 2012
"... This paper proposes a novel image representation called a Graphical Gaussian Vector (GGV), which is a counterpart of the codebook and local feature matching approaches. We model the distribution of local features as a Gaussian Markov Random Field (GMRF) which can efficiently represent the spatial re ..."
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Cited by 3 (0 self)
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This paper proposes a novel image representation called a Graphical Gaussian Vector (GGV), which is a counterpart of the codebook and local feature matching approaches. We model the distribution of local features as a Gaussian Markov Random Field (GMRF) which can efficiently represent the spatial
Capacity bounds for Gaussian vector broadcast channels
 in Multiantenna Channels: Capacity, Coding and Signal Processing
"... Abstract. An outer bound on the capacity region of broadcast channels is presented called the degraded, same marginals (DSM) bound. This bound includes and improves on Sato's sumrate bound. The DSM bound is applied to Gaussian vector broadcast channels, and it is found that the Gel'fand/ ..."
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Cited by 26 (8 self)
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Abstract. An outer bound on the capacity region of broadcast channels is presented called the degraded, same marginals (DSM) bound. This bound includes and improves on Sato's sumrate bound. The DSM bound is applied to Gaussian vector broadcast channels, and it is found that the Gel
Efficient Object Localization with Gaussianized Vector Representation ABSTRACT
"... Recently, the Gaussianized vector representation has been shown effective in several applications related to interactive multimedia, such as facial age estimation, image scene categorization and video event recognition. However, all these tasks are classification and regression problems based on the ..."
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Cited by 4 (4 self)
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Recently, the Gaussianized vector representation has been shown effective in several applications related to interactive multimedia, such as facial age estimation, image scene categorization and video event recognition. However, all these tasks are classification and regression problems based
Image denoising using a scale mixture of Gaussians in the wavelet domain
 IEEE TRANS IMAGE PROCESSING
, 2003
"... We describe a method for removing noise from digital images, based on a statistical model of the coefficients of an overcomplete multiscale oriented basis. Neighborhoods of coefficients at adjacent positions and scales are modeled as the product of two independent random variables: a Gaussian vecto ..."
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Cited by 514 (17 self)
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We describe a method for removing noise from digital images, based on a statistical model of the coefficients of an overcomplete multiscale oriented basis. Neighborhoods of coefficients at adjacent positions and scales are modeled as the product of two independent random variables: a Gaussian
Transmit power optimization for Gaussian vector broadcast channels
 in IEEE International Conference on Communications (ICC
, 2005
"... Abstract — This paper proposes a transmit power optimization algorithm for a Gaussian vector broadcast channel. The optimal power allocation minimizes the sum trace of input covariance matrices of all the users in the Gaussian vector broadcast channel. By duality the transmit power optimization can ..."
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Cited by 2 (1 self)
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Abstract — This paper proposes a transmit power optimization algorithm for a Gaussian vector broadcast channel. The optimal power allocation minimizes the sum trace of input covariance matrices of all the users in the Gaussian vector broadcast channel. By duality the transmit power optimization can
Results 1  10
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386,440