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Additive non-gaussian noise channels: Mutual information and conditional mean estimation

by Dongning Guo - in Proc. of the IEEE Int. Symposium on Inform. Theory , 2005
"... Abstract — It has recently been shown that the derivative of the input-output mutual information of Gaussian noise channels with respect to the signal-to-noise ratio is equal to the minimum mean-square error. This paper considers general additive noise channels where the noise may not be Gaussian di ..."
Abstract - Cited by 14 (1 self) - Add to MetaCart
Abstract — It has recently been shown that the derivative of the input-output mutual information of Gaussian noise channels with respect to the signal-to-noise ratio is equal to the minimum mean-square error. This paper considers general additive noise channels where the noise may not be Gaussian

Capacity of multi-antenna Gaussian channels

by I. Emre Telatar - EUROPEAN TRANSACTIONS ON TELECOMMUNICATIONS , 1999
"... We investigate the use of multiple transmitting and/or receiving antennas for single user communications over the additive Gaussian channel with and without fading. We derive formulas for the capacities and error exponents of such channels, and describe computational procedures to evaluate such form ..."
Abstract - Cited by 2923 (6 self) - Add to MetaCart
We investigate the use of multiple transmitting and/or receiving antennas for single user communications over the additive Gaussian channel with and without fading. We derive formulas for the capacities and error exponents of such channels, and describe computational procedures to evaluate

Just Relax: Convex Programming Methods for Identifying Sparse Signals in Noise

by Joel A. Tropp , 2006
"... This paper studies a difficult and fundamental problem that arises throughout electrical engineering, applied mathematics, and statistics. Suppose that one forms a short linear combination of elementary signals drawn from a large, fixed collection. Given an observation of the linear combination that ..."
Abstract - Cited by 483 (2 self) - Add to MetaCart
that has been contaminated with additive noise, the goal is to identify which elementary signals participated and to approximate their coefficients. Although many algorithms have been proposed, there is little theory which guarantees that these algorithms can accurately and efficiently solve the problem

Quantization Index Modulation: A Class of Provably Good Methods for Digital Watermarking and Information Embedding

by Brian Chen, Gregory W. Wornell - IEEE TRANS. ON INFORMATION THEORY , 1999
"... We consider the problem of embedding one signal (e.g., a digital watermark), within another "host" signal to form a third, "composite" signal. The embedding is designed to achieve efficient tradeoffs among the three conflicting goals of maximizing information-embedding rate, mini ..."
Abstract - Cited by 496 (14 self) - Add to MetaCart
distortion--robustness tradeoffs than currently popular spread-spectrum and low-bit(s) modulation methods. Furthermore, we show that for some important classes of probabilistic models, DC-QIM is optimal (capacity-achieving) and regular QIM is near-optimal. These include both additive white Gaussian noise

Cooperative diversity in wireless networks: efficient protocols and outage behavior

by J. Nicholas Laneman, David N. C. Tse, Gregory W. Wornell - IEEE TRANS. INFORM. THEORY , 2004
"... We develop and analyze low-complexity cooperative diversity protocols that combat fading induced by multipath propagation in wireless networks. The underlying techniques exploit space diversity available through cooperating terminals’ relaying signals for one another. We outline several strategies ..."
Abstract - Cited by 2009 (31 self) - Add to MetaCart
employed by the cooperating radios, including fixed relaying schemes such as amplify-and-forward and decode-and-forward, selection relaying schemes that adapt based upon channel measurements between the cooperating terminals, and incremental relaying schemes that adapt based upon limited feedback from

Particle Filtering for Demodulation in Fading Channels with Non-Gaussian Additive Noise.

by E. Punskaya, C. Andrieu, A. Doucet, W.J. Fitzgerald , 2001
"... In this paper, an ecient particle ltering algorithm is developed to solve the problem of demodulation of M-ary modulated signals under conditions of fading channels in the presence of non-Gaussian additive noise. Simulations for MDPSK signals are presented. The results show that the algorithm outper ..."
Abstract - Cited by 12 (2 self) - Add to MetaCart
In this paper, an ecient particle ltering algorithm is developed to solve the problem of demodulation of M-ary modulated signals under conditions of fading channels in the presence of non-Gaussian additive noise. Simulations for MDPSK signals are presented. The results show that the algorithm

Linear multiuser detectors for synchronous code-division multiple-access channels

by Ruxandra Lupas, Sergio Verdú - IEEE TRANS. INFORM. THEORY , 1989
"... In code-division multiple-access systems, simultaneous mul-tiuser accessing of a common channel is made possible by assigning a signature waveform to each user. Knowledge of these waveforms enables the receiver to demodulate the data streams of each user, upon observation of the sum of the transmitt ..."
Abstract - Cited by 385 (4 self) - Add to MetaCart
of the transmitted signals, perturbed by additive noise. Under the assumptions of symbol-synchronous transmissions and white Gaussian noise, we analyze the detection mechanism at the receiver, comparing different detectors by their bit error rate in the low background noise region, and by their worst-case behavior

Chalmers Publication Library The Dispersion of Nearest-Neighbor Decoding for Additive Non-Gaussian Channels The Dispersion of Nearest-Neighbor Decoding for Additive Non-Gaussian Channels

by Jonathan Scarlett , Vincent Y F Tan , Giuseppe Durisi
"... Abstract-We study the second-order asymptotics of information transmission using random Gaussian codebooks and nearest neighbor (NN) decoding over a power-limited additive stationary memoryless non-Gaussian channel. We show that the dispersion term depends on the non-Gaussian noise only through its ..."
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Abstract-We study the second-order asymptotics of information transmission using random Gaussian codebooks and nearest neighbor (NN) decoding over a power-limited additive stationary memoryless non-Gaussian channel. We show that the dispersion term depends on the non-Gaussian noise only through

Performance Comparison of Various MIMO Detectors in Presence of Gaussian and Non-Gaussian Noise

by Jaskirat Kaur, Harmandar Kaur
"... The Multiple-Input Multiple-Output (MIMO) – Orthogonal Frequency Division Multiplexing (OFDM) technology significantly provides high transmission rate and robustness against multi-path fading and other channel impairments. Mostly, MIMO-OFDM system is analyzed only in presence of additive white Gaus ..."
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The Multiple-Input Multiple-Output (MIMO) – Orthogonal Frequency Division Multiplexing (OFDM) technology significantly provides high transmission rate and robustness against multi-path fading and other channel impairments. Mostly, MIMO-OFDM system is analyzed only in presence of additive white

Sum Capacity of a Gaussian Vector Broadcast Channel

by Wei Yu, John M. Cioffi - IEEE Trans. Inform. Theory , 2002
"... This paper characterizes the sum capacity of a class of non-degraded 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 ..."
Abstract - Cited by 279 (21 self) - Add to MetaCart
class of Gaussian channels whose saddle-point satisfies a full rank condition. Furt her,t he sum capacity is achieved using a precoding method for Gaussian channels with additive side information non-causally known at the transmitter. The optimal precoding structure is shown t correspond to a decision
Results 1 - 10 of 3,655