no code implementations • 20 Dec 2022 • Shunqi Huang, Lei Liu, Brian M. Kurkoski
Damping is commonly employed to ensure the convergence of iterative algorithms.
no code implementations • 23 Jun 2022 • Lei Liu, Shunqi Huang, Brian M. Kurkoski
Approximate message passing (AMP) type algorithms have been widely used in the signal reconstruction of certain large random linear systems.
no code implementations • 31 Dec 2021 • Lei Liu, Shunqi Huang, Yuzhi Yang, Zhaoyang Zhang, Brian M. Kurkoski
Given an arbitrary MAMP, we can construct an SS-MAMP by damping, which not only ensures the convergence of the state evolution, but also preserves the orthogonality, i. e., its dynamics can be correctly described by state evolution.
no code implementations • 4 Jun 2021 • Lei Liu, Shunqi Huang, Brian M. Kurkoski
Approximate message passing (AMP) is a low-cost iterative parameter-estimation technique for certain high-dimensional linear systems with non-Gaussian distributions.
2 code implementations • 20 Dec 2020 • Lei Liu, Shunqi Huang, Brian M. Kurkoski
To asymptotically characterize the performance of BO-MAMP, a state evolution is derived.
1 code implementation • 27 Jul 2017 • Kees A. Schouhamer Immink, Stan Baggen, Ferdaous Chaabane, Yanling Chen, Peter H. N. de With, Hela Gassara, Hamed Gharbi, Adel Ghazel, Khaled Grati, Naira M. Grigoryan, Ashot Harutyunyan, Masayuki Imanishi, Mitsugu Iwamoto, Ken-ichi Iwata, Hiroshi Kamabe, Brian M. Kurkoski, Shigeaki Kuzuoka, Patrick Langenhuizen, Jan Lewandowsky, Akiko Manada, Shigeki Miyake, Hiroyoshi Morita, Jun Muramatsu, Safa Najjar, Arnak V. Poghosyan, Fatma Rouissi, Yuta Sakai, Ulrich Tamm, Joost van der Putten, Fons van der Sommen, A. J. Han Vinck, Tadashi Wadayama, Dirk Wübben, Hirosuke Yamamoto
The 10th Asia-Europe workshop in "Concepts in Information Theory and Communications" AEW10 was held in Boppard, Germany on June 21-23, 2017.
Information Theory Information Theory 68P30, 94A05