Ara
Toplam kayıt 4, listelenen: 1-4
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 ...
LDPC Code Design for Binary-Input Binary-Output Z Interference Channels
(Ieee, 2015)
In this paper, we explore code optimization for two-user discrete memoryless interference channels (DMICs) wherein the inputs and outputs of the channel are from a finite alphabet. For encoding, we employ irregular low-density ...
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) ...