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Toplam kayıt 4, listelenen: 1-4
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 ...
MRI RECONSTRUCTION WITH ANALYSIS SPARSE REGULARIZATION UNDER IMPULSIVE NOISE
(Ieee, 2016)
We will be considering analysis sparsity based regularization for Magnetic Resonance Imaging reconstruction. The analysis sparsity regularization is based on the recently introduced Transform Learning framework, which has ...
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 ...