Zobrazeno 1 - 10
of 173
pro vyhledávání: '"Burshtein, David"'
Autor:
Burshtein, David, Bery, Eli
Deep learning methods for communications over unknown nonlinear channels have attracted considerable interest recently. In this paper, we consider semi-supervised learning methods, which are based on variational inference, for decoding unknown nonlin
Externí odkaz:
http://arxiv.org/abs/2309.11841
New algorithms for efficient decoding of polar codes (which may be CRC-augmented), transmitted over either a binary erasure channel (BEC) or an additive white Gaussian noise channel (AWGNC), are presented. We start by presenting a new efficient exact
Externí odkaz:
http://arxiv.org/abs/2107.05965
Autor:
Urman, Yonatan, Burshtein, David
A new algorithm for efficient exact maximum likelihood decoding of polar codes (which may be CRC augmented), transmitted over the binary erasure channel, is presented. The algorithm applies a matrix triangulation process on a sparse polar code parity
Externí odkaz:
http://arxiv.org/abs/2106.14753
Autor:
Mogilevsky, Guy, Burshtein, David
It is shown how to combine ordered statistics decoding (OSD) with CRC-aided belief propagation list (CBPL) decoding of polar codes. Even when the reprocessing order of the OSD is as low as one, the new decoder is shown to significantly improve on CBP
Externí odkaz:
http://arxiv.org/abs/2102.07994
Autor:
Urman, Yonatan, Burshtein, David
The problem of communicating over an additive white Gaussian noise channel with feedback, using low precision arithmetic, is considered. The Schalkwijk-Kailath (SK) scheme is known to achieve an error probability that decays double exponentially in t
Externí odkaz:
http://arxiv.org/abs/2001.03931
Autor:
Caciularu, Avi, Burshtein, David
A new approach for blind channel equalization and decoding, variational inference, and variational autoencoders (VAEs) in particular, is introduced. We first consider the reconstruction of uncoded data symbols transmitted over a noisy linear intersym
Externí odkaz:
http://arxiv.org/abs/1905.08795
Autor:
Beilin, Barak, Burshtein, David
The problem of communication over binary dirty paper (DP) using nested polar codes is considered. An improved scheme, focusing on low delay, short to moderate blocklength communication is proposed. Successive cancellation list (SCL) decoding with pro
Externí odkaz:
http://arxiv.org/abs/1904.02450
Autor:
Caciularu, Avi, Burshtein, David
A new maximum likelihood estimation approach for blind channel equalization, using variational autoencoders (VAEs), is introduced. Significant and consistent improvements in the error rate of the reconstructed symbols, compared to constant modulus eq
Externí odkaz:
http://arxiv.org/abs/1803.01526
A novel and efficient neural decoder algorithm is proposed. The proposed decoder is based on the neural Belief Propagation algorithm and the Automorphism Group. By combining neural belief propagation with permutations from the Automorphism Group we a
Externí odkaz:
http://arxiv.org/abs/1801.02726
Autor:
Goldin, Dina, Burshtein, David
A concatenated coding scheme over binary memoryless symmetric (BMS) channels using a polarization transformation followed by outer sub-codes is analyzed. Achievable error exponents and upper bounds on the error rate are derived. The first bound is ob
Externí odkaz:
http://arxiv.org/abs/1710.08379