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Generalized approximate message passing for estimation with random linear mixing
S Rangan - 2011 IEEE International Symposium on Information …, 2011 - ieeexplore.ieee.org
We consider the estimation of a random vector observed through a linear transform followed
by a componentwise probabilistic measurement channel. Although such linear mixing …
by a componentwise probabilistic measurement channel. Although such linear mixing …
Optimality of large MIMO detection via approximate message passing
Optimal data detection in multiple-input multiple-output (MIMO) communication systems with
a large number of antennas at both ends of the wireless link entails prohibitive …
a large number of antennas at both ends of the wireless link entails prohibitive …
Asymptotic analysis of map estimation via the replica method and compressed sensing
The replica method is a non-rigorous but widely-used technique from statistical physics used
in the asymptotic analysis of many large random nonlinear problems. This paper applies the …
in the asymptotic analysis of many large random nonlinear problems. This paper applies the …
Multiuser detection of sparsely spread CDMA
Code-division multiple access (CDMA) is the basis of a family of advanced air interfaces in
current and future generation networks. The benefits promised by CDMA have not been fully …
current and future generation networks. The benefits promised by CDMA have not been fully …
Message-passing de-quantization with applications to compressed sensing
Estimation of a vector from quantized linear measurements is a common problem for which
simple linear techniques are suboptimal-sometimes greatly so. This paper develops …
simple linear techniques are suboptimal-sometimes greatly so. This paper develops …
Iterative estimation of constrained rank-one matrices in noise
We consider the problem of estimating a rank-one matrix in Gaussian noise under a
probabilistic model for the left and right factors of the matrix. The probabilistic model can …
probabilistic model for the left and right factors of the matrix. The probabilistic model can …
A message-passing receiver for BICM-OFDM over unknown clustered-sparse channels
P Schniter - IEEE Journal of Selected Topics in Signal …, 2011 - ieeexplore.ieee.org
We propose a factor-graph-based approach to joint channel-estimation-and-decoding
(JCED) of bit-interleaved coded orthogonal frequency division multiplexing (BICM-OFDM). In …
(JCED) of bit-interleaved coded orthogonal frequency division multiplexing (BICM-OFDM). In …
Approximate message passing with consistent parameter estimation and applications to sparse learning
We consider the estimation of an iid\vector $\xbf\in\R^ n $ from measurements $\ybf\in\R^ m
$ obtained by a general cascade model consisting of a known linear transform followed by a …
$ obtained by a general cascade model consisting of a known linear transform followed by a …
A factor graph approach to joint OFDM channel estimation and decoding in impulsive noise environments
We propose a novel receiver for orthogonal frequency division multiplexing (OFDM)
transmissions in impulsive noise environments. Impulsive noise arises in many modern …
transmissions in impulsive noise environments. Impulsive noise arises in many modern …
Energy-efficient and low-complexity uplink transceiver for massive spatial modulation MIMO
In this paper, we design the uplink transceiver for a new multiuser (MU) massive spatial
modulation (SM) multiple-input-multiple-output (SM-MIMO) system over frequency-selective …
modulation (SM) multiple-input-multiple-output (SM-MIMO) system over frequency-selective …