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Toplam kayıt 6, listelenen: 1-6
MRI reconstruction with joint global regularization and transform learning
(Pergamon-Elsevier Science Ltd, 2016)
Sparsity based regularization has been a popular approach to remedy the measurement scarcity in image reconstruction. Recently, sparsifying transforms learned from image patches have been utilized as an effective regularizer ...
On LDPC codes for Gaussian interference channels
(Institute of Electrical and Electronics Engineers Inc., 2014)
In this paper, we focus on the two-user Gaussian interference channel (GIC), and study the Han-Kobayashi (HK) coding/decoding strategy with the objective of designing low-density parity-check (LDPC) codes. A code optimization ...
TRANSFORM LEARNING MRI WITH GLOBAL WAVELET REGULARIZATION
(Ieee, 2015)
Sparse regularization of the reconstructed image in a transform domain has led to state of the art algorithms for magnetic resonance imaging (MRI) reconstruction, Recently, new methods have been proposed which perform ...
Short Block Length Code Design for Interference Channels
(Ieee, 2016)
We focus on short block length code design for Gaussian interference channels (GICs) using trellis-based codes. We employ two different decoding techniques at the receiver side, namely, joint maximum likelihood (JML) ...
LDPC Code Design for the Two-User Gaussian Multiple Access Channel
(Ieee-Inst Electrical Electronics Engineers Inc, 2016)
We study code design for two-user Gaussian multiple access channels (GMACs) under fixed channel gains and under quasi-static fading. We employ low-density parity-check (LDPC) codes with BPSK modulation and utilize an ...
Implementing the Han-Kobayashi Scheme Using Low Density Parity Check Codes Over Gaussian Interference Channels
(Ieee-Inst Electrical Electronics Engineers Inc, 2015)
We focus on Gaussian interference channels (GICs) and study the Han-Kobayashi coding strategy for the two-user case with the objective of designing implementable (explicit) channel codes. Specifically, low-density parity-check ...