Yazar "Tanc, A. Korhan" için listeleme
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Implementing the Han-Kobayashi Scheme Using Low Density Parity Check Codes Over Gaussian Interference Channels
Sharifi, Shahrouz; Tanc, A. Korhan; Duman, Tolga M. (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 ... -
LDPC Code Design for Binary-Input Binary-Output Z Interference Channels
Sharifi, Shahrouz; Tanc, A. Korhan; Duman, Tolga M. (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 ... -
LDPC Code Design for the Two-User Gaussian Multiple Access Channel
Sharifi, Shahrouz; Tanc, A. Korhan; Duman, Tolga M. (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 ... -
MRI RECONSTRUCTION WITH ANALYSIS SPARSE REGULARIZATION UNDER IMPULSIVE NOISE
Tanc, A. Korhan; Eksioğlu, Ender M. (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 ... -
MRI reconstruction with joint global regularization and transform learning
Tanc, A. Korhan; Eksioğlu, Ender M. (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
Sharifi, Shahrouz; Tanc, A. Korhan; Duman, Tolga M. (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 ... -
Short Block Length Code Design for Interference Channels
Sharifi, Shahrouz; Dabirnia, Mehdi; Tanc, A. Korhan; Duman, Tolga M. (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) ... -
Sparsity regularized recursive total least-squares
Tanc, A. Korhan (Academic Press Inc Elsevier Science, 2015)This paper introduces a new family of recursive total least-squares (RTLS) algorithms for identification of sparse systems with noisy input vector. We regularize the RTLS cost function by adding a sparsifying term and ... -
TRANSFORM LEARNING MRI WITH GLOBAL WAVELET REGULARIZATION
Tanc, A. Korhan; Eksioğlu, Ender M. (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 ...
