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Results 1 - 10
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3,526
Space-time codes for high data rate wireless communication: Performance criterion and code construction
- IEEE TRANS. INFORM. THEORY
, 1998
"... We consider the design of channel codes for improving the data rate and/or the reliability of communications over fading channels using multiple transmit antennas. Data is encoded by a channel code and the encoded data is split into n streams that are simultaneously transmitted using n transmit ant ..."
Abstract
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Cited by 1782 (28 self)
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for high data rate wireless communication. The encoding/decoding complexity of these codes is comparable to trellis codes employed in practice over Gaussian channels. The codes constructed here provide the best tradeoff between data rate, diversity advantage, and trellis complexity. Simulation results
Good Error-Correcting Codes based on Very Sparse Matrices
, 1999
"... We study two families of error-correcting codes defined in terms of very sparse matrices. "MN" (MacKay--Neal) codes are recently invented, and "Gallager codes" were first investigated in 1962, but appear to have been largely forgotten, in spite of their excellent properties. The ..."
Abstract
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Cited by 750 (23 self)
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but also for any channel with symmetric stationary ergodic noise. We give experimental results for binary-symmetric channels and Gaussian channels demonstrating that practical performance substantially better than that of standard convolutional and concatenated codes can be achieved; indeed
Gaussian Codes and Shannon Bounds for Multiple Descriptions
- IEEE Trans. Inform. Theory
, 1998
"... A well known inequality due to Shannon, upper / lower bounds the rate distortion function of a real source by the rate distortion function of the Gaussian source with the same variance / entropy. We extend these bounds to multiple descriptions, a problem for which a general "single letter" ..."
Abstract
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Cited by 42 (7 self)
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are the variance and the entropy-power of X , respectively, and D (oe 2 ; R 1 ; R 2 ) is the distortion region for a Gaussian source with variance oe 2 found by Ozarow. We further show that like in the single description case, a Gaussian random code achieves the outer bound in the limit as d 1 ; d 2 ! 0
Probabilistic Visual Learning for Object Representation
, 1996
"... We present an unsupervised technique for visual learning which is based on density estimation in high-dimensional spaces using an eigenspace decomposition. Two types of density estimates are derived for modeling the training data: a multivariate Gaussian (for unimodal distributions) and a Mixture-of ..."
Abstract
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Cited by 699 (15 self)
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We present an unsupervised technique for visual learning which is based on density estimation in high-dimensional spaces using an eigenspace decomposition. Two types of density estimates are derived for modeling the training data: a multivariate Gaussian (for unimodal distributions) and a Mixture-of-Gaussians
Matched Filter Decoding of Random Binary and Gaussian Codes in Broadband Gaussian Channel
"... Abstract—In this paper we consider the additive white Gaus-sian noise channel with an average input power constraint in the power-limited regime. A well-known result in information theory states that the capacity of this channel can be achieved by random Gaussian coding with analog quadrature amplit ..."
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Abstract—In this paper we consider the additive white Gaus-sian noise channel with an average input power constraint in the power-limited regime. A well-known result in information theory states that the capacity of this channel can be achieved by random Gaussian coding with analog quadrature
Beam-Beam Simulations with the Gaussian Code TRS
- in Proc. ICAP98
"... We describe features of the soft-gaussian beam-beam simulation code “TRS ” and present sample results for the PEP-II e + e − collider. 1 Description of the code A basic experimental observation in e + e − colliders in stable operation is that the particle distribution density at the beam core is app ..."
Abstract
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Cited by 2 (1 self)
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We describe features of the soft-gaussian beam-beam simulation code “TRS ” and present sample results for the PEP-II e + e − collider. 1 Description of the code A basic experimental observation in e + e − colliders in stable operation is that the particle distribution density at the beam core
The "Independent Components" of Natural Scenes are Edge Filters
, 1997
"... It has previously been suggested that neurons with line and edge selectivities found in primary visual cortex of cats and monkeys form a sparse, distributed representation of natural scenes, and it has been reasoned that such responses should emerge from an unsupervised learning algorithm that attem ..."
Abstract
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Cited by 617 (29 self)
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that attempts to find a factorial code of independent visual features. We show here that a new unsupervised learning algorithm based on information maximization, a nonlinear "infomax" network, when applied to an ensemble of natural scenes produces sets of visual filters that are localized and oriented
Least squares quantization in pcm.
- Bell Telephone Laboratories Paper
, 1982
"... Abstract-It has long been realized that in pulse-code modulation (PCM), with a given ensemble of signals to handle, the quantum values should be spaced more closely in the voltage regions where the signal amplitude is more likely to fall. It has been shown by Panter and Dite that, in the limit as t ..."
Abstract
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Cited by 1362 (0 self)
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Abstract-It has long been realized that in pulse-code modulation (PCM), with a given ensemble of signals to handle, the quantum values should be spaced more closely in the voltage regions where the signal amplitude is more likely to fall. It has been shown by Panter and Dite that, in the limit
The capacity region of the Gaussian multiple-input multiple-output broadcast channel
- IEEE TRANS. INF. THEORY
, 2006
"... The Gaussian multiple-input multiple-output (MIMO) broadcast channel (BC) is considered. The dirty-paper coding (DPC) rate region is shown to coincide with the capacity region. To that end, a new notion of an enhanced broadcast channel is introduced and is used jointly with the entropy power inequa ..."
Abstract
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Cited by 339 (7 self)
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The Gaussian multiple-input multiple-output (MIMO) broadcast channel (BC) is considered. The dirty-paper coding (DPC) rate region is shown to coincide with the capacity region. To that end, a new notion of an enhanced broadcast channel is introduced and is used jointly with the entropy power
ℓp-norms of codewords from capacity- and dispersion-achieveing Gaussian codes.
"... Polyanskiy Abstract—It is demonstrated that codewords of good codes for the additive white Gaussian noise (AWGN) channel become more and more isotropically distributed (in the sense of evalu-ating quadratic forms) and resemble white Gaussian noise (in the sense of ℓp norms) as the code approaches cl ..."
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Polyanskiy Abstract—It is demonstrated that codewords of good codes for the additive white Gaussian noise (AWGN) channel become more and more isotropically distributed (in the sense of evalu-ating quadratic forms) and resemble white Gaussian noise (in the sense of ℓp norms) as the code approaches
Results 1 - 10
of
3,526
