Tadashi Wadayama
Tadashi Wadayama
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A typical reconstruction limit for compressed sensing based on lp-norm minimization
Y Kabashima, T Wadayama, T Tanaka
Journal of Statistical Mechanics: Theory and Experiment 2009 (09), L09003, 2009
1652009
Gradient descent bit flipping algorithms for decoding LDPC codes
T Wadayama, K Nakamura, M Yagita, Y Funahashi, S Usami, I Takumi
2008 International Symposium on Information Theory and Its Applications, 1-6, 2008
1542008
Low-density parity-check matrices for coding of correlated sources
J Muramatsu, T Uyematsu, T Wadayama
IEEE transactions on information theory 51 (10), 3645-3654, 2005
882005
Trainable ISTA for sparse signal recovery
D Ito, S Takabe, T Wadayama
IEEE Transactions on Signal Processing 67 (12), 3113-3125, 2019
672019
A coded modulation scheme based on low density parity check codes
T Wadayama
IEICE transactions on fundamentals of electronics, communications and …, 2001
612001
Introduction to Low Density Parity Check Codes and Sum-Product Algorithm
T Wadayama
Technical Report of the Institute of Electronics, Information and …, 2001
512001
Coded M-FSK for power line communications
AJH Vinck, J Haering, T Wadayama
2000 IEEE International Symposium on Information Theory (Cat. No. 00CH37060 …, 2000
432000
Low density parity check matrices for coding of multiple access networks
J Muramatsu, T Uyematsu, T Wadayama
Proceedings 2003 IEEE Information Theory Workshop (Cat. No. 03EX674), 304-307, 2003
412003
An iterative decoding algorithm of low density parity check codes for hidden Markov noise channels
T Wadayama
Proceedings of International Symposium on Information Theory and Its …, 2000
382000
Interior point decoding for linear vector channels based on convex optimization
T Wadayama
IEEE transactions on information theory 56 (10), 4905-4921, 2010
34*2010
LP-decodable permutation codes based on linearly constrained permutation matrices
T Wadayama, M Hagiwara
IEEE transactions on information theory 58 (8), 5454-5470, 2012
312012
Trainable projected gradient detector for massive overloaded MIMO channels: Data-driven tuning approach
S Takabe, M Imanishi, T Wadayama, R Hayakawa, K Hayashi
IEEE Access 7, 93326-93338, 2019
302019
An analysis on non-adaptive group testing based on sparse pooling graphs
T Wadayama
2013 IEEE International Symposium on Information Theory, 2681-2685, 2013
28*2013
A multilevel construction of permutation codes
T Wadayama, H AJ
IEICE TRANSACTIONS on Fundamentals of Electronics, Communications and …, 2001
272001
A cutting-plane method based on redundant rows for improving fractional distance
M Miwa, T Wadayama, I Takumi
IEEE Journal on Selected Areas in Communications 27 (6), 1005-1012, 2009
242009
Upper and lower bounds on maximum nonlinearity of n-input m-output Boolean function
T Wadayama, T Hada, K Wakasugi, M Kasahara
Designs, Codes and Cryptography 23 (1), 23-34, 2001
212001
Deep learning-aided projected gradient detector for massive overloaded MIMO channels
S Takabe, M Imanishi, T Wadayama, K Hayashi
ICC 2019-2019 IEEE International Conference on Communications (ICC), 1-6, 2019
172019
Deep learning-aided trainable projected gradient decoding for LDPC codes
T Wadayama, S Takabe
2019 IEEE International Symposium on Information Theory (ISIT), 2444-2448, 2019
152019
Analysis of breakdown probability of wireless sensor networks with unreliable relay nodes
T Nozaki, T Nakano, T Wadayama
2017 IEEE International Symposium on Information Theory (ISIT), 481-485, 2017
152017
An LP decoding algorithm based on primal path-following interior point method
T Wadayama
2009 IEEE International Symposium on Information Theory, 389-393, 2009
152009
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Artículos 1–20